Femboyuwu2000
commited on
Commit
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Parent(s):
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lierotica_llama2
Browse files- README.md +1 -2
- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- runs/Apr08_19-40-38_c6b69506ef79/events.out.tfevents.1712605494.c6b69506ef79.34.0 +3 -0
- runs/Apr08_19-46-21_c6b69506ef79/events.out.tfevents.1712605585.c6b69506ef79.34.1 +3 -0
- training_args.bin +1 -1
- wandb/debug-internal.log +164 -469
- wandb/debug.log +33 -45
- wandb/run-20240408_194511-wp046ftq/files/conda-environment.yaml +1068 -0
- wandb/run-20240408_194511-wp046ftq/files/config.yaml +682 -0
- wandb/run-20240408_194511-wp046ftq/files/output.log +14 -0
- wandb/run-20240408_194511-wp046ftq/files/requirements.txt +879 -0
- wandb/run-20240408_194511-wp046ftq/files/wandb-metadata.json +66 -0
- wandb/run-20240408_194511-wp046ftq/files/wandb-summary.json +1 -0
- wandb/run-20240408_194511-wp046ftq/logs/debug-internal.log +164 -0
- wandb/run-20240408_194511-wp046ftq/logs/debug.log +35 -0
- wandb/run-20240408_194511-wp046ftq/run-wp046ftq.wandb +0 -0
README.md
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@@ -9,7 +9,6 @@ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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model-index:
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- name: working
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results: []
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pipeline_tag: text-generation
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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@@ -43,7 +42,7 @@ The following hyperparameters were used during training:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- training_steps:
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### Training results
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model-index:
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- name: working
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- training_steps: 50
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### Training results
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adapter_config.json
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adapter_model.safetensors
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training_args.bin
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2024-04-08 18:49:50,246 DEBUG SystemMonitor:389 [system_monitor.py:_start():172] Starting system metrics aggregation loop
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2024-04-08 18:51:28,653 INFO SenderThread:389 [sender.py:_save_file():1365] saving file wandb-summary.json with policy end
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2024-04-08 18:51:29,506 INFO Thread-12 :389 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_184716-rbc2gze0/files/wandb-summary.json
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2024-04-08 18:54:17,136 DEBUG HandlerThread:389 [handler.py:handle_request():146] handle_request: resume
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2024-04-08 18:54:17,136 INFO HandlerThread:389 [handler.py:handle_request_resume():699] starting system metrics thread
|
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-
2024-04-08 18:54:17,136 INFO HandlerThread:389 [system_monitor.py:start():194] Starting system monitor
|
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-
2024-04-08 18:54:17,137 INFO SystemMonitor:389 [system_monitor.py:_start():158] Starting system asset monitoring threads
|
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-
2024-04-08 18:54:17,137 INFO SystemMonitor:389 [interfaces.py:start():190] Started cpu monitoring
|
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-
2024-04-08 18:54:17,138 INFO SystemMonitor:389 [interfaces.py:start():190] Started disk monitoring
|
329 |
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2024-04-08 18:54:17,139 INFO SystemMonitor:389 [interfaces.py:start():190] Started gpu monitoring
|
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-
2024-04-08 18:54:17,140 INFO SystemMonitor:389 [interfaces.py:start():190] Started memory monitoring
|
331 |
-
2024-04-08 18:54:17,140 INFO SystemMonitor:389 [interfaces.py:start():190] Started network monitoring
|
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-
2024-04-08 18:54:17,160 DEBUG HandlerThread:389 [handler.py:handle_request():146] handle_request: pause
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-
2024-04-08 18:54:17,160 INFO HandlerThread:389 [handler.py:handle_request_pause():708] stopping system metrics thread
|
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-
2024-04-08 18:54:17,160 INFO HandlerThread:389 [system_monitor.py:finish():203] Stopping system monitor
|
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-
2024-04-08 18:54:17,160 DEBUG SystemMonitor:389 [system_monitor.py:_start():172] Starting system metrics aggregation loop
|
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-
2024-04-08 18:54:17,160 DEBUG SystemMonitor:389 [system_monitor.py:_start():179] Finished system metrics aggregation loop
|
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-
2024-04-08 18:54:17,161 DEBUG SystemMonitor:389 [system_monitor.py:_start():183] Publishing last batch of metrics
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2024-04-08 18:54:17,160 INFO HandlerThread:389 [interfaces.py:finish():202] Joined cpu monitor
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-
2024-04-08 18:54:17,162 INFO HandlerThread:389 [interfaces.py:finish():202] Joined disk monitor
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2024-04-08 18:54:17,176 INFO HandlerThread:389 [interfaces.py:finish():202] Joined gpu monitor
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-
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-
2024-04-08 18:54:17,176 INFO HandlerThread:389 [interfaces.py:finish():202] Joined network monitor
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-
2024-04-08 18:54:17,177 DEBUG SenderThread:389 [sender.py:send():378] send: stats
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-
2024-04-08 18:54:20,051 DEBUG HandlerThread:389 [handler.py:handle_request():146] handle_request: keepalive
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-
2024-04-08 18:54:22,178 DEBUG HandlerThread:389 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 18:55:55,846 DEBUG HandlerThread:389 [handler.py:handle_request():146] handle_request: resume
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-
2024-04-08 18:55:55,846 INFO HandlerThread:389 [handler.py:handle_request_resume():699] starting system metrics thread
|
385 |
-
2024-04-08 18:55:55,846 INFO HandlerThread:389 [system_monitor.py:start():194] Starting system monitor
|
386 |
-
2024-04-08 18:55:55,846 INFO SystemMonitor:389 [system_monitor.py:_start():158] Starting system asset monitoring threads
|
387 |
-
2024-04-08 18:55:55,847 INFO SystemMonitor:389 [interfaces.py:start():190] Started cpu monitoring
|
388 |
-
2024-04-08 18:55:55,848 INFO SystemMonitor:389 [interfaces.py:start():190] Started disk monitoring
|
389 |
-
2024-04-08 18:55:55,848 INFO SystemMonitor:389 [interfaces.py:start():190] Started gpu monitoring
|
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-
2024-04-08 18:55:55,848 DEBUG HandlerThread:389 [handler.py:handle_request():146] handle_request: pause
|
391 |
-
2024-04-08 18:55:55,849 INFO SystemMonitor:389 [interfaces.py:start():190] Started memory monitoring
|
392 |
-
2024-04-08 18:55:55,849 INFO HandlerThread:389 [handler.py:handle_request_pause():708] stopping system metrics thread
|
393 |
-
2024-04-08 18:55:55,850 INFO HandlerThread:389 [system_monitor.py:finish():203] Stopping system monitor
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-
2024-04-08 18:55:55,850 INFO HandlerThread:389 [interfaces.py:finish():202] Joined cpu monitor
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2024-04-08 19:46:09,068 DEBUG SystemMonitor:124 [system_monitor.py:_start():172] Starting system metrics aggregation loop
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2024-04-08 19:46:09,068 DEBUG SystemMonitor:124 [system_monitor.py:_start():183] Publishing last batch of metrics
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2024-04-08 19:46:09,071 DEBUG SenderThread:124 [sender.py:send_request():405] send_request: stop_status
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2024-04-08 19:46:09,086 INFO HandlerThread:124 [interfaces.py:finish():202] Joined gpu monitor
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2024-04-08 19:46:09,086 INFO HandlerThread:124 [interfaces.py:finish():202] Joined memory monitor
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2024-04-08 19:46:09,087 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:09,189 DEBUG SenderThread:124 [sender.py:send():378] send: config
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2024-04-08 19:46:09,190 DEBUG SenderThread:124 [sender.py:send():378] send: metric
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2024-04-08 19:46:09,190 DEBUG SenderThread:124 [sender.py:send():378] send: telemetry
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2024-04-08 19:46:09,190 DEBUG SenderThread:124 [sender.py:send():378] send: metric
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2024-04-08 19:46:09,190 WARNING SenderThread:124 [sender.py:send_metric():1316] Seen metric with glob (shouldn't happen)
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2024-04-08 19:46:09,190 DEBUG SenderThread:124 [sender.py:send():378] send: telemetry
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2024-04-08 19:46:09,191 DEBUG SenderThread:124 [sender.py:send():378] send: files
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2024-04-08 19:46:09,191 INFO SenderThread:124 [sender.py:_save_file():1365] saving file wandb-metadata.json with policy now
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2024-04-08 19:46:09,628 INFO Thread-12 :124 [dir_watcher.py:_on_file_created():271] file/dir created: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/output.log
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2024-04-08 19:46:09,629 INFO Thread-12 :124 [dir_watcher.py:_on_file_created():271] file/dir created: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/wandb-metadata.json
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2024-04-08 19:46:11,629 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/output.log
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2024-04-08 19:46:12,198 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:13,742 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:21,596 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: resume
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2024-04-08 19:46:21,596 INFO HandlerThread:124 [handler.py:handle_request_resume():699] starting system metrics thread
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2024-04-08 19:46:21,596 INFO HandlerThread:124 [system_monitor.py:start():194] Starting system monitor
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2024-04-08 19:46:21,596 INFO SystemMonitor:124 [system_monitor.py:_start():158] Starting system asset monitoring threads
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2024-04-08 19:46:21,597 INFO SystemMonitor:124 [interfaces.py:start():190] Started cpu monitoring
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2024-04-08 19:46:21,598 INFO SystemMonitor:124 [interfaces.py:start():190] Started disk monitoring
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2024-04-08 19:46:21,599 INFO SystemMonitor:124 [interfaces.py:start():190] Started gpu monitoring
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2024-04-08 19:46:21,601 INFO SystemMonitor:124 [interfaces.py:start():190] Started memory monitoring
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2024-04-08 19:46:21,602 INFO SystemMonitor:124 [interfaces.py:start():190] Started network monitoring
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2024-04-08 19:46:22,281 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:25,657 DEBUG SenderThread:124 [sender.py:send():378] send: config
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2024-04-08 19:46:25,659 WARNING SenderThread:124 [sender.py:send_metric():1316] Seen metric with glob (shouldn't happen)
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2024-04-08 19:46:27,634 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/output.log
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2024-04-08 19:46:27,660 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:43,639 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/config.yaml
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2024-04-08 19:46:43,787 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:57,875 DEBUG SenderThread:124 [sender.py:send():378] send: metric
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2024-04-08 19:46:57,877 INFO SenderThread:124 [sender.py:_save_file():1365] saving file wandb-summary.json with policy end
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2024-04-08 19:46:58,645 INFO Thread-12 :124 [dir_watcher.py:_on_file_created():271] file/dir created: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/wandb-summary.json
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2024-04-08 19:47:14,650 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/config.yaml
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2024-04-08 19:47:19,138 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:47:21,602 DEBUG SystemMonitor:124 [system_monitor.py:_start():172] Starting system metrics aggregation loop
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2024-04-08 19:47:21,604 DEBUG SenderThread:124 [sender.py:send():378] send: stats
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2024-04-08 19:47:24,139 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:47:27,345 INFO SenderThread:124 [sender.py:_save_file():1365] saving file wandb-summary.json with policy end
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2024-04-08 19:47:27,655 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/wandb-summary.json
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2024-04-08 19:47:30,216 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:47:34,151 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:47:41,087 INFO SenderThread:124 [sender.py:_save_file():1365] saving file wandb-summary.json with policy end
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2024-04-08 19:47:41,659 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/wandb-summary.json
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wandb/debug.log
CHANGED
@@ -1,47 +1,35 @@
|
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1 |
-
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config: {}
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-
2024-04-08 18:49:50,242 INFO MainThread:347 [wandb_init.py:_pause_backend():437] pausing backend
|
36 |
-
2024-04-08 18:50:22,045 INFO MainThread:347 [wandb_init.py:_resume_backend():442] resuming backend
|
37 |
-
2024-04-08 18:50:26,437 INFO MainThread:347 [wandb_run.py:_config_callback():1343] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 2048, 'hidden_size': 2048, 'intermediate_size': 5632, 'num_hidden_layers': 22, 'num_attention_heads': 32, 'num_key_value_heads': 4, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': False, 'rope_theta': 10000.0, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': None, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T', 'transformers_version': '4.38.2', 'model_type': 'llama', 'quantization_config': {'quant_method': 'QuantizationMethod.BITS_AND_BYTES', '_load_in_8bit': False, '_load_in_4bit': True, 'llm_int8_threshold': 6.0, 'llm_int8_skip_modules': None, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': False, 'bnb_4bit_compute_dtype': 'float16', 'load_in_4bit': True, 'load_in_8bit': False}, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'evaluation_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 2, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 5e-05, 'weight_decay': 0.001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 0.1, 'num_train_epochs': 1, 'max_steps': 40, 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2024-04-08 18:56:12,348 INFO MainThread:347 [wandb_run.py:_config_callback():1343] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 2048, 'hidden_size': 2048, 'intermediate_size': 5632, 'num_hidden_layers': 22, 'num_attention_heads': 32, 'num_key_value_heads': 4, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': False, 'rope_theta': 10000.0, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': None, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T', 'transformers_version': '4.38.2', 'model_type': 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'lr_scheduler_type': 'cosine', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.03, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Apr08_18-56-08_9d8ae58bd3dc', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 20, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 20, 'save_total_limit': 1, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_32bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
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2024-04-08 19:45:11,065 INFO MainThread:34 [wandb_setup.py:_flush():76] Current SDK version is 0.16.4
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_init.py:_log_setup():526] Logging user logs to /kaggle/working/wandb/run-20240408_194511-wp046ftq/logs/debug.log
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_init.py:_log_setup():527] Logging internal logs to /kaggle/working/wandb/run-20240408_194511-wp046ftq/logs/debug-internal.log
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_init.py:_jupyter_setup():472] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7d61b4bc2410>
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_init.py:init():566] calling init triggers
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_init.py:init():573] wandb.init called with sweep_config: {}
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_init.py:init():616] starting backend
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2024-04-08 19:45:11,068 INFO MainThread:34 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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2024-04-08 19:45:11,071 INFO MainThread:34 [wandb_init.py:init():628] backend started and connected
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2024-04-08 19:45:11,084 INFO MainThread:34 [wandb_run.py:_label_probe_notebook():1295] probe notebook
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2024-04-08 19:45:11,498 INFO MainThread:34 [wandb_init.py:init():720] updated telemetry
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2024-04-08 19:45:11,501 INFO MainThread:34 [wandb_init.py:init():753] communicating run to backend with 90.0 second timeout
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2024-04-08 19:45:11,696 INFO MainThread:34 [wandb_run.py:_on_init():2271] got version response upgrade_message: "wandb version 0.16.6 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
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2024-04-08 19:45:11,696 INFO MainThread:34 [wandb_init.py:init():804] starting run threads in backend
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2024-04-08 19:45:42,707 INFO MainThread:34 [wandb_run.py:_console_start():2241] atexit reg
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2024-04-08 19:45:42,707 INFO MainThread:34 [wandb_run.py:_redirect():2096] redirect: wrap_raw
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2024-04-08 19:45:42,709 INFO MainThread:34 [wandb_run.py:_redirect():2186] Redirects installed.
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2024-04-08 19:45:42,711 INFO MainThread:34 [wandb_init.py:init():847] run started, returning control to user process
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2024-04-08 19:45:42,719 INFO MainThread:34 [wandb_run.py:_config_callback():1343] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 2048, 'hidden_size': 2048, 'intermediate_size': 5632, 'num_hidden_layers': 22, 'num_attention_heads': 32, 'num_key_value_heads': 4, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': False, 'rope_theta': 10000.0, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': None, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T', 'transformers_version': '4.38.2', 'model_type': 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'lr_scheduler_type': 'cosine', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.03, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Apr08_19-40-38_c6b69506ef79', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 20, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 20, 'save_total_limit': 1, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_32bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
|
32 |
+
2024-04-08 19:46:07,837 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook
|
33 |
+
2024-04-08 19:46:07,837 INFO MainThread:34 [wandb_init.py:_pause_backend():437] pausing backend
|
34 |
+
2024-04-08 19:46:21,595 INFO MainThread:34 [wandb_init.py:_resume_backend():442] resuming backend
|
35 |
+
2024-04-08 19:46:25,653 INFO MainThread:34 [wandb_run.py:_config_callback():1343] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 2048, 'hidden_size': 2048, 'intermediate_size': 5632, 'num_hidden_layers': 22, 'num_attention_heads': 32, 'num_key_value_heads': 4, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': False, 'rope_theta': 10000.0, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': None, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T', 'transformers_version': '4.38.2', 'model_type': 'llama', 'quantization_config': {'quant_method': 'QuantizationMethod.BITS_AND_BYTES', '_load_in_8bit': False, '_load_in_4bit': True, 'llm_int8_threshold': 6.0, 'llm_int8_skip_modules': None, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': False, 'bnb_4bit_compute_dtype': 'float16', 'load_in_4bit': True, 'load_in_8bit': False}, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'evaluation_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 2, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 5e-05, 'weight_decay': 0.001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 0.1, 'num_train_epochs': 1, 'max_steps': 50, 'lr_scheduler_type': 'cosine', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.03, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Apr08_19-46-21_c6b69506ef79', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 20, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 20, 'save_total_limit': 1, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_32bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
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wandb/run-20240408_194511-wp046ftq/files/conda-environment.yaml
ADDED
@@ -0,0 +1,1068 @@
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|
1 |
+
name: base
|
2 |
+
channels:
|
3 |
+
- pytorch
|
4 |
+
- file:///tmp/conda
|
5 |
+
- rapidsai
|
6 |
+
- nvidia
|
7 |
+
- conda-forge
|
8 |
+
- defaults
|
9 |
+
dependencies:
|
10 |
+
- _libgcc_mutex=0.1=conda_forge
|
11 |
+
- _openmp_mutex=4.5=2_gnu
|
12 |
+
- aiohttp=3.9.1=py310h2372a71_0
|
13 |
+
- aiosignal=1.3.1=pyhd8ed1ab_0
|
14 |
+
- annotated-types=0.6.0=pyhd8ed1ab_0
|
15 |
+
- anyio=4.2.0=pyhd8ed1ab_0
|
16 |
+
- archspec=0.2.2=pyhd8ed1ab_0
|
17 |
+
- argon2-cffi=23.1.0=pyhd8ed1ab_0
|
18 |
+
- argon2-cffi-bindings=21.2.0=py310h2372a71_4
|
19 |
+
- arrow=1.3.0=pyhd8ed1ab_0
|
20 |
+
- arrow-cpp=11.0.0=ha770c72_9_cpu
|
21 |
+
- asttokens=2.4.1=pyhd8ed1ab_0
|
22 |
+
- async-timeout=4.0.3=pyhd8ed1ab_0
|
23 |
+
- atk-1.0=2.38.0=hd4edc92_1
|
24 |
+
- attrs=23.2.0=pyh71513ae_0
|
25 |
+
- aws-c-auth=0.6.26=h987a71b_2
|
26 |
+
- aws-c-cal=0.5.21=h48707d8_2
|
27 |
+
- aws-c-common=0.8.14=h0b41bf4_0
|
28 |
+
- aws-c-compression=0.2.16=h03acc5a_5
|
29 |
+
- aws-c-event-stream=0.2.20=h00877a2_4
|
30 |
+
- aws-c-http=0.7.6=hf342b9f_0
|
31 |
+
- aws-c-io=0.13.19=h5b20300_3
|
32 |
+
- aws-c-mqtt=0.8.6=hc4349f7_12
|
33 |
+
- aws-c-s3=0.2.7=h909e904_1
|
34 |
+
- aws-c-sdkutils=0.1.9=h03acc5a_0
|
35 |
+
- aws-checksums=0.1.14=h03acc5a_5
|
36 |
+
- aws-crt-cpp=0.19.8=hf7fbfca_12
|
37 |
+
- aws-sdk-cpp=1.10.57=h17c43bd_8
|
38 |
+
- beautifulsoup4=4.12.2=pyha770c72_0
|
39 |
+
- bleach=6.1.0=pyhd8ed1ab_0
|
40 |
+
- boltons=23.1.1=pyhd8ed1ab_0
|
41 |
+
- brotli=1.0.9=h166bdaf_9
|
42 |
+
- brotli-bin=1.0.9=h166bdaf_9
|
43 |
+
- brotli-python=1.0.9=py310hd8f1fbe_9
|
44 |
+
- brotlipy=0.7.0=py310h7f8727e_1002
|
45 |
+
- bzip2=1.0.8=h7b6447c_0
|
46 |
+
- c-ares=1.25.0=hd590300_0
|
47 |
+
- ca-certificates=2024.2.2=hbcca054_0
|
48 |
+
- cached-property=1.5.2=hd8ed1ab_1
|
49 |
+
- cached_property=1.5.2=pyha770c72_1
|
50 |
+
- cairo=1.18.0=h3faef2a_0
|
51 |
+
- cartopy=0.22.0=py310hcc13569_1
|
52 |
+
- catalogue=2.0.10=py310hff52083_0
|
53 |
+
- certifi=2024.2.2=pyhd8ed1ab_0
|
54 |
+
- cffi=1.16.0=py310h2fee648_0
|
55 |
+
- charset-normalizer=3.3.2=pyhd8ed1ab_0
|
56 |
+
- click=8.1.7=unix_pyh707e725_0
|
57 |
+
- cloudpathlib=0.16.0=pyhd8ed1ab_0
|
58 |
+
- colorama=0.4.6=pyhd8ed1ab_0
|
59 |
+
- comm=0.2.1=pyhd8ed1ab_0
|
60 |
+
- conda=23.7.4=py310hff52083_0
|
61 |
+
- conda-libmamba-solver=23.7.0=pyhd8ed1ab_0
|
62 |
+
- conda-package-handling=2.2.0=pyh38be061_0
|
63 |
+
- conda-package-streaming=0.9.0=pyhd8ed1ab_0
|
64 |
+
- confection=0.1.4=py310h17c5347_0
|
65 |
+
- contourpy=1.2.0=py310hd41b1e2_0
|
66 |
+
- cryptography=41.0.7=py310hb8475ec_1
|
67 |
+
- cuda-cccl=12.4.99=0
|
68 |
+
- cuda-cudart=12.4.99=0
|
69 |
+
- cuda-cudart-dev=12.4.99=0
|
70 |
+
- cuda-nvcc-dev_linux-64=12.1.105=ha770c72_0
|
71 |
+
- cuda-nvcc-impl=12.1.105=hd3aeb46_0
|
72 |
+
- cuda-nvcc-tools=12.1.105=hd3aeb46_0
|
73 |
+
- cuda-nvrtc=12.1.105=hd3aeb46_0
|
74 |
+
- cuda-profiler-api=12.4.99=0
|
75 |
+
- cuda-python=12.4.0=py310h52dc4f0_0
|
76 |
+
- cuda-version=12.1=h1d6eff3_3
|
77 |
+
- cudf=23.08.00=cuda12_py310_230809_g8150d38e08_0
|
78 |
+
- cuml=23.08.00=cuda12_py310_230809_gd7162cdea_0
|
79 |
+
- cupy=13.0.0=py310h7aad9d2_3
|
80 |
+
- cupy-core=13.0.0=py310had4011e_3
|
81 |
+
- curl=8.6.0=hca28451_0
|
82 |
+
- cycler=0.12.1=pyhd8ed1ab_0
|
83 |
+
- cymem=2.0.8=py310hc6cd4ac_1
|
84 |
+
- cython-blis=0.7.10=py310h1f7b6fc_2
|
85 |
+
- cytoolz=0.12.3=py310h2372a71_0
|
86 |
+
- dask-cuda=23.08.00=py310_230809_gefbd6ca_0
|
87 |
+
- dask-cudf=23.08.00=cuda12_py310_230809_g8150d38e08_0
|
88 |
+
- debugpy=1.8.0=py310hc6cd4ac_1
|
89 |
+
- decorator=5.1.1=pyhd8ed1ab_0
|
90 |
+
- defusedxml=0.7.1=pyhd8ed1ab_0
|
91 |
+
- distributed=2023.7.1=pyhd8ed1ab_0
|
92 |
+
- distro=1.9.0=pyhd8ed1ab_0
|
93 |
+
- dlenv-tf-2-15-gpu=1.0.20240111=py310ha20f8e0_0
|
94 |
+
- dlpack=0.5=h9c3ff4c_0
|
95 |
+
- entrypoints=0.4=pyhd8ed1ab_0
|
96 |
+
- exceptiongroup=1.2.0=pyhd8ed1ab_2
|
97 |
+
- executing=2.0.1=pyhd8ed1ab_0
|
98 |
+
- expat=2.6.2=h59595ed_0
|
99 |
+
- fastrlock=0.8.2=py310hc6cd4ac_2
|
100 |
+
- fftw=3.3.10=nompi_hc118613_108
|
101 |
+
- fmt=9.1.0=h924138e_0
|
102 |
+
- font-ttf-dejavu-sans-mono=2.37=hab24e00_0
|
103 |
+
- font-ttf-inconsolata=3.000=h77eed37_0
|
104 |
+
- font-ttf-source-code-pro=2.038=h77eed37_0
|
105 |
+
- font-ttf-ubuntu=0.83=h77eed37_1
|
106 |
+
- fontconfig=2.14.2=h14ed4e7_0
|
107 |
+
- fonts-conda-ecosystem=1=0
|
108 |
+
- fonts-conda-forge=1=0
|
109 |
+
- fqdn=1.5.1=pyhd8ed1ab_0
|
110 |
+
- freetype=2.12.1=h267a509_2
|
111 |
+
- fribidi=1.0.10=h36c2ea0_0
|
112 |
+
- frozenlist=1.4.1=py310h2372a71_0
|
113 |
+
- gdk-pixbuf=2.42.10=h829c605_5
|
114 |
+
- geos=3.11.1=h27087fc_0
|
115 |
+
- gettext=0.21.1=h27087fc_0
|
116 |
+
- gflags=2.2.2=he1b5a44_1004
|
117 |
+
- ghostscript=10.03.0=h59595ed_0
|
118 |
+
- giflib=5.2.1=h0b41bf4_3
|
119 |
+
- glog=0.6.0=h6f12383_0
|
120 |
+
- gmock=1.14.0=ha770c72_1
|
121 |
+
- gmp=6.3.0=h59595ed_0
|
122 |
+
- google-api-core-grpc=2.11.1=hd8ed1ab_0
|
123 |
+
- google-auth=2.26.1=pyhca7485f_0
|
124 |
+
- google-cloud-core=2.4.1=pyhd8ed1ab_0
|
125 |
+
- google-cloud-datastore=2.19.0=pyhd8ed1ab_0
|
126 |
+
- googleapis-common-protos=1.62.0=pyhd8ed1ab_0
|
127 |
+
- graphite2=1.3.13=h58526e2_1001
|
128 |
+
- graphviz=9.0.0=h78e8752_1
|
129 |
+
- grpc-cpp=1.51.1=h27aab58_3
|
130 |
+
- gtest=1.14.0=h00ab1b0_1
|
131 |
+
- gtk2=2.24.33=h280cfa0_4
|
132 |
+
- gts=0.7.6=h977cf35_4
|
133 |
+
- harfbuzz=8.3.0=h3d44ed6_0
|
134 |
+
- icu=73.2=h59595ed_0
|
135 |
+
- idna=3.6=pyhd8ed1ab_0
|
136 |
+
- imagemagick=7.1.1_29=pl5321hb90aeea_0
|
137 |
+
- importlib_metadata=7.0.1=hd8ed1ab_0
|
138 |
+
- importlib_resources=6.1.1=pyhd8ed1ab_0
|
139 |
+
- intel-openmp=2023.1.0=hdb19cb5_46306
|
140 |
+
- ipykernel=6.28.0=pyhd33586a_0
|
141 |
+
- ipython=8.20.0=pyh707e725_0
|
142 |
+
- ipython_genutils=0.2.0=py_1
|
143 |
+
- isoduration=20.11.0=pyhd8ed1ab_0
|
144 |
+
- jbig=2.1=h7f98852_2003
|
145 |
+
- jedi=0.19.1=pyhd8ed1ab_0
|
146 |
+
- jinja2=3.1.2=pyhd8ed1ab_1
|
147 |
+
- joblib=1.3.2=pyhd8ed1ab_0
|
148 |
+
- jsonpatch=1.33=pyhd8ed1ab_0
|
149 |
+
- jsonpointer=2.4=py310hff52083_3
|
150 |
+
- jsonschema=4.20.0=pyhd8ed1ab_0
|
151 |
+
- jsonschema-specifications=2023.12.1=pyhd8ed1ab_0
|
152 |
+
- jsonschema-with-format-nongpl=4.20.0=pyhd8ed1ab_0
|
153 |
+
- jupyter_client=8.6.0=pyhd8ed1ab_0
|
154 |
+
- jupyter_core=5.7.1=py310hff52083_0
|
155 |
+
- jupyter_events=0.9.0=pyhd8ed1ab_0
|
156 |
+
- jupyter_server_terminals=0.5.1=pyhd8ed1ab_0
|
157 |
+
- jupyterlab_pygments=0.3.0=pyhd8ed1ab_0
|
158 |
+
- keyutils=1.6.1=h166bdaf_0
|
159 |
+
- kiwisolver=1.4.5=py310hd41b1e2_1
|
160 |
+
- krb5=1.21.2=h659d440_0
|
161 |
+
- langcodes=3.3.0=pyhd8ed1ab_0
|
162 |
+
- lcms2=2.16=hb7c19ff_0
|
163 |
+
- ld_impl_linux-64=2.40=h41732ed_0
|
164 |
+
- lerc=4.0.0=h27087fc_0
|
165 |
+
- libabseil=20230125.0=cxx17_hcb278e6_1
|
166 |
+
- libarchive=3.6.2=h039dbb9_1
|
167 |
+
- libarrow=11.0.0=h33598ff_9_cpu
|
168 |
+
- libblas=3.9.0=21_linux64_openblas
|
169 |
+
- libbrotlicommon=1.0.9=h166bdaf_9
|
170 |
+
- libbrotlidec=1.0.9=h166bdaf_9
|
171 |
+
- libbrotlienc=1.0.9=h166bdaf_9
|
172 |
+
- libcblas=3.9.0=21_linux64_openblas
|
173 |
+
- libcrc32c=1.1.2=h9c3ff4c_0
|
174 |
+
- libcublas=12.1.3.1=hd3aeb46_0
|
175 |
+
- libcublas-dev=12.1.3.1=0
|
176 |
+
- libcudf=23.08.00=cuda12_230809_g8150d38e08_0
|
177 |
+
- libcufft=11.0.2.54=hd3aeb46_0
|
178 |
+
- libcufile=1.9.0.20=0
|
179 |
+
- libcufile-dev=1.9.0.20=0
|
180 |
+
- libcuml=23.08.00=cuda12_230809_gd7162cdea_0
|
181 |
+
- libcumlprims=23.08.00=cuda12_230809_g71c0a86_0
|
182 |
+
- libcurand=10.3.2.106=hd3aeb46_0
|
183 |
+
- libcurand-dev=10.3.2.106=0
|
184 |
+
- libcurl=8.6.0=hca28451_0
|
185 |
+
- libcusolver=11.4.5.107=hd3aeb46_0
|
186 |
+
- libcusolver-dev=11.4.5.107=0
|
187 |
+
- libcusparse=12.1.0.106=hd3aeb46_0
|
188 |
+
- libcusparse-dev=12.1.0.106=0
|
189 |
+
- libdeflate=1.19=hd590300_0
|
190 |
+
- libedit=3.1.20191231=he28a2e2_2
|
191 |
+
- libev=4.33=hd590300_2
|
192 |
+
- libevent=2.1.10=h28343ad_4
|
193 |
+
- libexpat=2.6.2=h59595ed_0
|
194 |
+
- libffi=3.4.2=h7f98852_5
|
195 |
+
- libgcc-ng=13.2.0=h807b86a_3
|
196 |
+
- libgd=2.3.3=h119a65a_9
|
197 |
+
- libgfortran-ng=13.2.0=h69a702a_5
|
198 |
+
- libgfortran5=13.2.0=ha4646dd_5
|
199 |
+
- libglib=2.80.0=hf2295e7_0
|
200 |
+
- libgomp=13.2.0=h807b86a_3
|
201 |
+
- libgoogle-cloud=2.8.0=h3c06191_0
|
202 |
+
- libgrpc=1.51.1=hcf146ea_3
|
203 |
+
- libhwloc=2.9.3=default_h554bfaf_1009
|
204 |
+
- libiconv=1.17=hd590300_2
|
205 |
+
- libjpeg-turbo=3.0.0=hd590300_1
|
206 |
+
- libkvikio=23.08.00=cuda12_230809_g51a9036_0
|
207 |
+
- liblapack=3.9.0=21_linux64_openblas
|
208 |
+
- libllvm14=14.0.6=hcd5def8_4
|
209 |
+
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|
210 |
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211 |
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212 |
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213 |
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214 |
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215 |
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216 |
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217 |
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218 |
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219 |
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220 |
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221 |
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222 |
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|
223 |
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|
224 |
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|
225 |
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226 |
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227 |
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|
228 |
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229 |
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230 |
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231 |
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232 |
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233 |
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234 |
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236 |
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237 |
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238 |
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239 |
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|
240 |
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|
241 |
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242 |
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|
243 |
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|
244 |
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|
245 |
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|
246 |
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|
247 |
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248 |
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|
249 |
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250 |
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|
251 |
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|
252 |
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|
253 |
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|
254 |
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|
255 |
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256 |
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|
257 |
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|
258 |
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|
259 |
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|
260 |
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|
261 |
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|
262 |
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|
263 |
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|
264 |
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|
265 |
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|
266 |
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|
267 |
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|
268 |
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|
269 |
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|
270 |
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|
271 |
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|
272 |
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|
273 |
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|
274 |
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|
275 |
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|
276 |
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|
277 |
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|
278 |
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|
279 |
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|
280 |
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|
281 |
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|
282 |
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|
283 |
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|
284 |
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|
285 |
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|
286 |
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|
287 |
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|
288 |
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|
289 |
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|
290 |
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|
291 |
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|
292 |
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|
293 |
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|
294 |
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|
295 |
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|
296 |
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|
297 |
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|
298 |
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|
299 |
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|
300 |
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|
301 |
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|
302 |
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|
303 |
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|
304 |
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|
305 |
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|
306 |
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|
307 |
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|
308 |
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|
309 |
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|
310 |
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|
311 |
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|
312 |
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|
313 |
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|
314 |
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|
315 |
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|
316 |
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|
317 |
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|
318 |
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|
319 |
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|
320 |
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|
321 |
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|
322 |
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|
323 |
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|
324 |
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|
325 |
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|
326 |
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|
327 |
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|
328 |
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|
329 |
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|
330 |
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|
331 |
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|
332 |
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|
333 |
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|
334 |
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|
335 |
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|
336 |
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|
337 |
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|
338 |
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|
339 |
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|
340 |
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|
341 |
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|
342 |
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|
343 |
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|
344 |
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|
345 |
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|
346 |
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|
347 |
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|
348 |
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|
349 |
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|
350 |
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|
351 |
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|
352 |
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|
353 |
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|
354 |
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|
355 |
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|
356 |
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|
357 |
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|
358 |
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|
359 |
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|
360 |
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|
361 |
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|
362 |
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|
363 |
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|
364 |
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|
365 |
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|
366 |
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|
367 |
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|
368 |
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|
369 |
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|
370 |
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|
371 |
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|
372 |
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|
373 |
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|
374 |
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|
375 |
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|
376 |
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|
377 |
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|
378 |
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|
379 |
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|
380 |
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|
381 |
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|
382 |
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|
383 |
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|
384 |
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|
385 |
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|
386 |
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|
387 |
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|
388 |
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|
389 |
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|
390 |
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|
391 |
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|
392 |
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|
393 |
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|
394 |
+
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|
395 |
+
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|
396 |
+
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|
397 |
+
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|
398 |
+
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|
399 |
+
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|
400 |
+
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|
401 |
+
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|
402 |
+
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|
403 |
+
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|
404 |
+
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|
405 |
+
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|
406 |
+
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|
407 |
+
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|
408 |
+
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|
409 |
+
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|
410 |
+
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|
411 |
+
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|
412 |
+
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|
413 |
+
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|
414 |
+
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|
415 |
+
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|
416 |
+
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|
417 |
+
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|
418 |
+
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|
419 |
+
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|
420 |
+
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|
421 |
+
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|
422 |
+
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|
423 |
+
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|
424 |
+
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|
425 |
+
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|
426 |
+
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|
427 |
+
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|
428 |
+
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|
429 |
+
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|
430 |
+
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|
431 |
+
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|
432 |
+
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|
433 |
+
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|
434 |
+
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|
435 |
+
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|
436 |
+
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|
437 |
+
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|
438 |
+
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|
439 |
+
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|
440 |
+
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|
441 |
+
- catboost==1.2.3
|
442 |
+
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|
443 |
+
- cesium==0.12.1
|
444 |
+
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|
445 |
+
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|
446 |
+
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|
447 |
+
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|
448 |
+
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|
449 |
+
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|
450 |
+
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|
451 |
+
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|
452 |
+
- cmudict==1.0.21
|
453 |
+
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|
454 |
+
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|
455 |
+
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|
456 |
+
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|
457 |
+
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|
458 |
+
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|
459 |
+
- crcmod==1.7
|
460 |
+
- cufflinks==0.17.3
|
461 |
+
- cvxcanon==0.1.2
|
462 |
+
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|
463 |
+
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|
464 |
+
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|
465 |
+
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|
466 |
+
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|
467 |
+
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|
468 |
+
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|
469 |
+
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|
470 |
+
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|
471 |
+
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|
472 |
+
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|
473 |
+
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|
474 |
+
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|
475 |
+
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|
476 |
+
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|
477 |
+
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|
478 |
+
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|
479 |
+
- dill==0.3.7
|
480 |
+
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|
481 |
+
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|
482 |
+
- dm-tree==0.1.8
|
483 |
+
- docker==7.0.0
|
484 |
+
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|
485 |
+
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|
486 |
+
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|
487 |
+
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|
488 |
+
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|
489 |
+
- earthengine-api==0.1.394
|
490 |
+
- easydict==1.13
|
491 |
+
- easyocr==1.7.1
|
492 |
+
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|
493 |
+
- eli5==0.13.0
|
494 |
+
- emoji==2.10.1
|
495 |
+
- en-core-web-lg==3.7.1
|
496 |
+
- en-core-web-sm==3.7.1
|
497 |
+
- ephem==4.1.5
|
498 |
+
- esda==2.5.1
|
499 |
+
- essentia==2.1b6.dev1110
|
500 |
+
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|
501 |
+
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|
502 |
+
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|
503 |
+
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504 |
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505 |
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506 |
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507 |
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508 |
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509 |
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510 |
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511 |
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512 |
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513 |
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514 |
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515 |
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516 |
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517 |
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518 |
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519 |
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520 |
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521 |
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522 |
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523 |
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524 |
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525 |
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526 |
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527 |
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528 |
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529 |
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530 |
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|
531 |
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532 |
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533 |
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534 |
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535 |
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536 |
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537 |
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538 |
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539 |
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540 |
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|
541 |
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542 |
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543 |
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544 |
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545 |
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546 |
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547 |
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548 |
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549 |
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550 |
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551 |
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552 |
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553 |
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554 |
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555 |
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556 |
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557 |
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559 |
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560 |
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561 |
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562 |
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563 |
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564 |
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565 |
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|
566 |
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567 |
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|
568 |
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569 |
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|
570 |
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|
571 |
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572 |
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|
573 |
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574 |
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575 |
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|
576 |
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|
577 |
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578 |
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579 |
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|
580 |
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581 |
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582 |
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|
583 |
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|
584 |
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|
585 |
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|
586 |
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587 |
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588 |
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|
589 |
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|
590 |
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|
591 |
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|
592 |
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|
593 |
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594 |
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|
595 |
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|
596 |
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|
597 |
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|
598 |
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|
599 |
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|
600 |
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|
601 |
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|
602 |
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|
603 |
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|
604 |
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|
605 |
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|
606 |
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|
607 |
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|
608 |
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|
609 |
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|
610 |
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|
611 |
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|
612 |
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|
613 |
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|
614 |
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|
615 |
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|
616 |
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|
617 |
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|
618 |
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|
619 |
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|
620 |
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|
621 |
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|
622 |
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|
623 |
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|
624 |
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|
625 |
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|
626 |
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|
627 |
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|
628 |
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|
629 |
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|
630 |
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|
631 |
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|
632 |
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|
633 |
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|
634 |
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|
635 |
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|
636 |
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|
637 |
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638 |
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|
639 |
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640 |
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641 |
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642 |
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643 |
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644 |
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645 |
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646 |
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647 |
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648 |
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649 |
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650 |
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651 |
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652 |
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653 |
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654 |
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655 |
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|
656 |
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|
657 |
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|
658 |
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|
659 |
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|
660 |
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|
661 |
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|
662 |
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|
663 |
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|
664 |
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|
665 |
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|
666 |
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|
667 |
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|
668 |
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|
669 |
+
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|
670 |
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|
671 |
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|
672 |
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|
673 |
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|
674 |
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|
675 |
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|
676 |
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|
677 |
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|
678 |
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|
679 |
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|
680 |
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|
681 |
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|
682 |
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|
683 |
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|
684 |
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|
685 |
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|
686 |
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|
687 |
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|
688 |
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|
689 |
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|
690 |
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|
691 |
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|
692 |
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|
693 |
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|
694 |
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|
695 |
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|
696 |
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|
697 |
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|
698 |
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|
699 |
+
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|
700 |
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|
701 |
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|
702 |
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|
703 |
+
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|
704 |
+
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|
705 |
+
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|
706 |
+
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|
707 |
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|
708 |
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|
709 |
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|
710 |
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|
711 |
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|
712 |
+
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|
713 |
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|
714 |
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|
715 |
+
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|
716 |
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|
717 |
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|
718 |
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|
719 |
+
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|
720 |
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|
721 |
+
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|
722 |
+
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|
723 |
+
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|
724 |
+
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|
725 |
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|
726 |
+
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|
727 |
+
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|
728 |
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|
729 |
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|
730 |
+
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|
731 |
+
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|
732 |
+
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|
733 |
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|
734 |
+
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|
735 |
+
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|
736 |
+
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|
737 |
+
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|
738 |
+
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|
739 |
+
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|
740 |
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|
741 |
+
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|
742 |
+
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|
743 |
+
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|
744 |
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|
745 |
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|
746 |
+
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|
747 |
+
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|
748 |
+
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|
749 |
+
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|
750 |
+
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|
751 |
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|
752 |
+
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|
753 |
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|
754 |
+
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|
755 |
+
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|
756 |
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|
757 |
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|
758 |
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|
759 |
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|
760 |
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|
761 |
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|
762 |
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|
763 |
+
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|
764 |
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|
765 |
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|
766 |
+
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|
767 |
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|
768 |
+
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|
769 |
+
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|
770 |
+
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|
771 |
+
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|
772 |
+
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|
773 |
+
- pandas-datareader==0.10.0
|
774 |
+
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|
775 |
+
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|
776 |
+
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|
777 |
+
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|
778 |
+
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|
779 |
+
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|
780 |
+
- path==16.10.0
|
781 |
+
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|
782 |
+
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|
783 |
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|
784 |
+
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|
785 |
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|
786 |
+
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|
787 |
+
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|
788 |
+
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|
789 |
+
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|
790 |
+
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|
791 |
+
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|
792 |
+
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|
793 |
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|
794 |
+
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|
795 |
+
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|
796 |
+
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|
797 |
+
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|
798 |
+
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|
799 |
+
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|
800 |
+
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|
801 |
+
- ppft==1.7.6.8
|
802 |
+
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|
803 |
+
- prettytable==3.9.0
|
804 |
+
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|
805 |
+
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|
806 |
+
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|
807 |
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|
808 |
+
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|
809 |
+
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|
810 |
+
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|
811 |
+
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|
812 |
+
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|
813 |
+
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|
814 |
+
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|
815 |
+
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|
816 |
+
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|
817 |
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|
818 |
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|
819 |
+
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|
820 |
+
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|
821 |
+
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|
822 |
+
- pycodestyle==2.11.1
|
823 |
+
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|
824 |
+
- pycryptodome==3.20.0
|
825 |
+
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|
826 |
+
- pycuda==2024.1
|
827 |
+
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|
828 |
+
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|
829 |
+
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|
830 |
+
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|
831 |
+
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|
832 |
+
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|
833 |
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|
834 |
+
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|
835 |
+
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|
836 |
+
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|
837 |
+
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|
838 |
+
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|
839 |
+
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|
840 |
+
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|
841 |
+
- pykalman==0.9.5
|
842 |
+
- pyldavis==3.4.1
|
843 |
+
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|
844 |
+
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|
845 |
+
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|
846 |
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|
847 |
+
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|
848 |
+
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|
849 |
+
- pynvrtc==9.2
|
850 |
+
- pyocr==0.8.5
|
851 |
+
- pyparsing==3.1.1
|
852 |
+
- pypdf==4.1.0
|
853 |
+
- pysal==24.1
|
854 |
+
- pytesseract==0.3.10
|
855 |
+
- pytest==8.1.1
|
856 |
+
- python-bidi==0.4.2
|
857 |
+
- python-dateutil==2.9.0.post0
|
858 |
+
- python-dotenv==1.0.0
|
859 |
+
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|
860 |
+
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|
861 |
+
- python-louvain==0.16
|
862 |
+
- python-lsp-jsonrpc==1.1.2
|
863 |
+
- python-lsp-server==1.10.1
|
864 |
+
- python-slugify==8.0.4
|
865 |
+
- python-utils==3.8.2
|
866 |
+
- pythreejs==2.4.2
|
867 |
+
- pytoolconfig==1.3.1
|
868 |
+
- pytools==2023.1.1
|
869 |
+
- pytorch-ignite==0.4.13
|
870 |
+
- pytorch-lightning==2.2.1
|
871 |
+
- pytz==2023.3.post1
|
872 |
+
- pyupset==0.1.1.post7
|
873 |
+
- pyviz-comms==3.0.1
|
874 |
+
- pywavelets==1.5.0
|
875 |
+
- pyzmq==24.0.1
|
876 |
+
- qgrid==1.3.1
|
877 |
+
- qtconsole==5.5.1
|
878 |
+
- qtpy==2.4.1
|
879 |
+
- quantecon==0.7.2
|
880 |
+
- quantities==0.15.0
|
881 |
+
- qudida==0.0.4
|
882 |
+
- rapidfuzz==3.6.2
|
883 |
+
- rasterio==1.3.9
|
884 |
+
- rasterstats==0.19.0
|
885 |
+
- ray==2.9.0
|
886 |
+
- ray-cpp==2.9.0
|
887 |
+
- regex==2023.12.25
|
888 |
+
- requests-oauthlib==1.3.1
|
889 |
+
- requests-toolbelt==0.10.1
|
890 |
+
- responses==0.18.0
|
891 |
+
- retrying==1.3.4
|
892 |
+
- rgf-python==3.12.0
|
893 |
+
- rich==13.7.0
|
894 |
+
- rich-click==1.7.4
|
895 |
+
- rope==1.12.0
|
896 |
+
- rtree==1.2.0
|
897 |
+
- s2sphere==0.2.5
|
898 |
+
- s3fs==2024.3.0
|
899 |
+
- s3transfer==0.6.2
|
900 |
+
- safetensors==0.4.2
|
901 |
+
- scattertext==0.1.19
|
902 |
+
- scikit-image==0.22.0
|
903 |
+
- scikit-learn==1.2.2
|
904 |
+
- scikit-learn-intelex==2024.1.0
|
905 |
+
- scikit-multilearn==0.2.0
|
906 |
+
- scikit-optimize==0.10.1
|
907 |
+
- scikit-plot==0.3.7
|
908 |
+
- scikit-surprise==1.1.3
|
909 |
+
- scipy==1.11.4
|
910 |
+
- seaborn==0.12.2
|
911 |
+
- secretstorage==3.3.3
|
912 |
+
- segment-anything==1.0
|
913 |
+
- segregation==2.5
|
914 |
+
- semver==3.0.2
|
915 |
+
- sentencepiece==0.2.0
|
916 |
+
- sentry-sdk==1.42.0
|
917 |
+
- setproctitle==1.3.3
|
918 |
+
- setuptools-git==1.2
|
919 |
+
- setuptools-scm==8.0.4
|
920 |
+
- shap==0.44.1
|
921 |
+
- shapely==2.0.3
|
922 |
+
- shimmy==1.3.0
|
923 |
+
- shtab==1.7.1
|
924 |
+
- simpervisor==1.0.0
|
925 |
+
- simpleitk==2.3.1
|
926 |
+
- simplejson==3.19.2
|
927 |
+
- six==1.16.0
|
928 |
+
- sklearn-pandas==2.2.0
|
929 |
+
- slicer==0.0.7
|
930 |
+
- smmap==5.0.1
|
931 |
+
- snowballstemmer==2.2.0
|
932 |
+
- snuggs==1.4.7
|
933 |
+
- soundfile==0.12.1
|
934 |
+
- soxr==0.3.7
|
935 |
+
- spaghetti==1.7.5.post1
|
936 |
+
- spectral==0.23.1
|
937 |
+
- spglm==1.1.0
|
938 |
+
- sphinx-rtd-theme==0.2.4
|
939 |
+
- spint==1.0.7
|
940 |
+
- splot==1.1.5.post1
|
941 |
+
- spopt==0.6.0
|
942 |
+
- spreg==1.4.2
|
943 |
+
- spvcm==0.3.0
|
944 |
+
- sqlalchemy==2.0.25
|
945 |
+
- sqlparse==0.4.4
|
946 |
+
- squarify==0.4.3
|
947 |
+
- stable-baselines3==2.1.0
|
948 |
+
- stack-data==0.6.3
|
949 |
+
- stanio==0.3.0
|
950 |
+
- starlette==0.32.0.post1
|
951 |
+
- statsmodels==0.14.1
|
952 |
+
- stemming==1.0.1
|
953 |
+
- stop-words==2018.7.23
|
954 |
+
- stopit==1.1.2
|
955 |
+
- stumpy==1.12.0
|
956 |
+
- sympy==1.12
|
957 |
+
- tables==3.9.2
|
958 |
+
- tabulate==0.9.0
|
959 |
+
- tangled-up-in-unicode==0.2.0
|
960 |
+
- tbb==2021.11.0
|
961 |
+
- tenacity==8.2.3
|
962 |
+
- tensorboard==2.15.1
|
963 |
+
- tensorboard-data-server==0.7.2
|
964 |
+
- tensorboard-plugin-profile==2.15.0
|
965 |
+
- tensorboardx==2.6.2.2
|
966 |
+
- tensorflow==2.15.0
|
967 |
+
- tensorflow-cloud==0.1.16
|
968 |
+
- tensorflow-datasets==4.9.4
|
969 |
+
- tensorflow-decision-forests==1.8.1
|
970 |
+
- tensorflow-estimator==2.15.0
|
971 |
+
- tensorflow-hub==0.16.1
|
972 |
+
- tensorflow-io==0.35.0
|
973 |
+
- tensorflow-io-gcs-filesystem==0.35.0
|
974 |
+
- tensorflow-metadata==0.14.0
|
975 |
+
- tensorflow-probability==0.23.0
|
976 |
+
- tensorflow-serving-api==2.14.1
|
977 |
+
- tensorflow-text==2.15.0
|
978 |
+
- tensorflow-transform==0.14.0
|
979 |
+
- tensorpack==0.11
|
980 |
+
- tensorstore==0.1.56
|
981 |
+
- termcolor==2.4.0
|
982 |
+
- testpath==0.6.0
|
983 |
+
- text-unidecode==1.3
|
984 |
+
- textblob==0.18.0.post0
|
985 |
+
- texttable==1.7.0
|
986 |
+
- tf-keras==2.15.1
|
987 |
+
- tfp-nightly==0.24.0.dev0
|
988 |
+
- theano==1.0.5
|
989 |
+
- theano-pymc==1.1.2
|
990 |
+
- threadpoolctl==3.2.0
|
991 |
+
- tifffile==2023.12.9
|
992 |
+
- timm==0.9.16
|
993 |
+
- tobler==0.11.2
|
994 |
+
- tokenizers==0.15.2
|
995 |
+
- toml==0.10.2
|
996 |
+
- tomli==2.0.1
|
997 |
+
- tomlkit==0.12.4
|
998 |
+
- torch==2.1.2
|
999 |
+
- torchaudio==2.1.2
|
1000 |
+
- torchdata==0.7.1
|
1001 |
+
- torchinfo==1.8.0
|
1002 |
+
- torchmetrics==1.3.2
|
1003 |
+
- torchtext==0.16.2
|
1004 |
+
- torchvision==0.16.2
|
1005 |
+
- tpot==0.12.1
|
1006 |
+
- traceml==1.0.8
|
1007 |
+
- traittypes==0.2.1
|
1008 |
+
- transformers==4.38.2
|
1009 |
+
- treelite-runtime==3.2.0
|
1010 |
+
- trl==0.8.1
|
1011 |
+
- trueskill==0.4.5
|
1012 |
+
- trx-python==0.2.9
|
1013 |
+
- tsfresh==0.20.2
|
1014 |
+
- typeguard==4.1.5
|
1015 |
+
- typing-inspect==0.9.0
|
1016 |
+
- tyro==0.8.2
|
1017 |
+
- tzdata==2023.4
|
1018 |
+
- uc-micro-py==1.0.3
|
1019 |
+
- ujson==5.9.0
|
1020 |
+
- umap-learn==0.5.5
|
1021 |
+
- unidecode==1.3.8
|
1022 |
+
- update-checker==0.18.0
|
1023 |
+
- uritemplate==3.0.1
|
1024 |
+
- urllib3==1.26.18
|
1025 |
+
- urwid==2.6.9
|
1026 |
+
- urwid-readline==0.14
|
1027 |
+
- uvicorn==0.25.0
|
1028 |
+
- uvloop==0.19.0
|
1029 |
+
- vaex==4.17.0
|
1030 |
+
- vaex-astro==0.9.3
|
1031 |
+
- vaex-core==4.17.1
|
1032 |
+
- vaex-hdf5==0.14.1
|
1033 |
+
- vaex-jupyter==0.8.2
|
1034 |
+
- vaex-ml==0.18.3
|
1035 |
+
- vaex-server==0.9.0
|
1036 |
+
- vaex-viz==0.5.4
|
1037 |
+
- vec-noise==1.1.4
|
1038 |
+
- vecstack==0.4.0
|
1039 |
+
- virtualenv==20.21.0
|
1040 |
+
- visions==0.7.5
|
1041 |
+
- vowpalwabbit==9.9.0
|
1042 |
+
- vtk==9.3.0
|
1043 |
+
- wand==0.6.13
|
1044 |
+
- wandb==0.16.4
|
1045 |
+
- watchfiles==0.21.0
|
1046 |
+
- wavio==0.0.8
|
1047 |
+
- websockets==12.0
|
1048 |
+
- werkzeug==3.0.1
|
1049 |
+
- wfdb==4.1.2
|
1050 |
+
- whatthepatch==1.0.5
|
1051 |
+
- widgetsnbextension==3.6.6
|
1052 |
+
- witwidget==1.8.1
|
1053 |
+
- woodwork==0.29.0
|
1054 |
+
- wordcloud==1.9.3
|
1055 |
+
- wordsegment==1.3.1
|
1056 |
+
- wrapt==1.14.1
|
1057 |
+
- xarray==2024.2.0
|
1058 |
+
- xarray-einstats==0.7.0
|
1059 |
+
- xgboost==2.0.3
|
1060 |
+
- xvfbwrapper==0.2.9
|
1061 |
+
- xxhash==3.4.1
|
1062 |
+
- y-py==0.6.2
|
1063 |
+
- yapf==0.40.2
|
1064 |
+
- yarl==1.9.4
|
1065 |
+
- ydata-profiling==4.6.4
|
1066 |
+
- yellowbrick==1.5
|
1067 |
+
- ypy-websocket==0.8.4
|
1068 |
+
prefix: /opt/conda
|
wandb/run-20240408_194511-wp046ftq/files/config.yaml
ADDED
@@ -0,0 +1,682 @@
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fp16_opt_level:
|
461 |
+
desc: null
|
462 |
+
value: O1
|
463 |
+
half_precision_backend:
|
464 |
+
desc: null
|
465 |
+
value: auto
|
466 |
+
bf16_full_eval:
|
467 |
+
desc: null
|
468 |
+
value: false
|
469 |
+
fp16_full_eval:
|
470 |
+
desc: null
|
471 |
+
value: false
|
472 |
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tf32:
|
473 |
+
desc: null
|
474 |
+
value: null
|
475 |
+
local_rank:
|
476 |
+
desc: null
|
477 |
+
value: 0
|
478 |
+
ddp_backend:
|
479 |
+
desc: null
|
480 |
+
value: null
|
481 |
+
tpu_num_cores:
|
482 |
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desc: null
|
483 |
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value: null
|
484 |
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tpu_metrics_debug:
|
485 |
+
desc: null
|
486 |
+
value: false
|
487 |
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|
488 |
+
desc: null
|
489 |
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value: []
|
490 |
+
dataloader_drop_last:
|
491 |
+
desc: null
|
492 |
+
value: false
|
493 |
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eval_steps:
|
494 |
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desc: null
|
495 |
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value: null
|
496 |
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|
497 |
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|
498 |
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|
499 |
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|
500 |
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|
501 |
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|
502 |
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past_index:
|
503 |
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|
504 |
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value: -1
|
505 |
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506 |
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desc: null
|
507 |
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value: /kaggle/working/
|
508 |
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disable_tqdm:
|
509 |
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desc: null
|
510 |
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value: false
|
511 |
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|
512 |
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desc: null
|
513 |
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|
514 |
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515 |
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|
516 |
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|
517 |
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load_best_model_at_end:
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518 |
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519 |
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520 |
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521 |
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522 |
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|
523 |
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524 |
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desc: null
|
525 |
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value: null
|
526 |
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|
527 |
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desc: null
|
528 |
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|
529 |
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|
530 |
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|
531 |
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532 |
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533 |
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desc: null
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value: 0
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535 |
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fsdp_config:
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536 |
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desc: null
|
537 |
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value:
|
538 |
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min_num_params: 0
|
539 |
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xla: false
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540 |
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xla_fsdp_v2: false
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541 |
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xla_fsdp_grad_ckpt: false
|
542 |
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fsdp_transformer_layer_cls_to_wrap:
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543 |
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|
544 |
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545 |
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accelerator_config:
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546 |
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desc: null
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547 |
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|
548 |
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549 |
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551 |
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552 |
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556 |
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557 |
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558 |
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559 |
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560 |
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563 |
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564 |
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565 |
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566 |
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567 |
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568 |
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569 |
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570 |
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571 |
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601 |
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603 |
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604 |
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|
605 |
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606 |
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|
607 |
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608 |
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|
610 |
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612 |
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615 |
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616 |
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|
617 |
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618 |
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|
619 |
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|
620 |
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|
621 |
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desc: null
|
622 |
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value: false
|
623 |
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gradient_checkpointing_kwargs:
|
624 |
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desc: null
|
625 |
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|
626 |
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include_inputs_for_metrics:
|
627 |
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|
628 |
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|
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|
630 |
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desc: null
|
631 |
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value: auto
|
632 |
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|
633 |
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desc: null
|
634 |
+
value: null
|
635 |
+
push_to_hub_organization:
|
636 |
+
desc: null
|
637 |
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value: null
|
638 |
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push_to_hub_token:
|
639 |
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|
640 |
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value: <PUSH_TO_HUB_TOKEN>
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641 |
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mp_parameters:
|
642 |
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desc: null
|
643 |
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value: ''
|
644 |
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auto_find_batch_size:
|
645 |
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desc: null
|
646 |
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value: false
|
647 |
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full_determinism:
|
648 |
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|
649 |
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|
650 |
+
torchdynamo:
|
651 |
+
desc: null
|
652 |
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value: null
|
653 |
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ray_scope:
|
654 |
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|
655 |
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value: last
|
656 |
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ddp_timeout:
|
657 |
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desc: null
|
658 |
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|
659 |
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torch_compile:
|
660 |
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|
661 |
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value: false
|
662 |
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torch_compile_backend:
|
663 |
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desc: null
|
664 |
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value: null
|
665 |
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torch_compile_mode:
|
666 |
+
desc: null
|
667 |
+
value: null
|
668 |
+
dispatch_batches:
|
669 |
+
desc: null
|
670 |
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value: null
|
671 |
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split_batches:
|
672 |
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|
673 |
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value: null
|
674 |
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|
675 |
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|
676 |
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|
677 |
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include_num_input_tokens_seen:
|
678 |
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desc: null
|
679 |
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value: false
|
680 |
+
neftune_noise_alpha:
|
681 |
+
desc: null
|
682 |
+
value: null
|
wandb/run-20240408_194511-wp046ftq/files/output.log
ADDED
@@ -0,0 +1,14 @@
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|
1 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
2 |
+
warnings.warn(
|
3 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
4 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
5 |
+
/opt/conda/lib/python3.10/site-packages/accelerate/accelerator.py:432: FutureWarning: Passing the following arguments to `Accelerator` is deprecated and will be removed in version 1.0 of Accelerate: dict_keys(['dispatch_batches', 'split_batches', 'even_batches', 'use_seedable_sampler']). Please pass an `accelerate.DataLoaderConfiguration` instead:
|
6 |
+
dataloader_config = DataLoaderConfiguration(dispatch_batches=None, split_batches=False, even_batches=True, use_seedable_sampler=True)
|
7 |
+
warnings.warn(
|
8 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
9 |
+
warnings.warn(
|
10 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
11 |
+
warnings.warn('Was asked to gather along dimension 0, but all '
|
12 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
13 |
+
warnings.warn(
|
14 |
+
/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
|
wandb/run-20240408_194511-wp046ftq/files/requirements.txt
ADDED
@@ -0,0 +1,879 @@
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|
|
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|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
1 |
+
==
|
2 |
+
Babel==2.14.0
|
3 |
+
Boruta==0.3
|
4 |
+
Brotli==1.0.9
|
5 |
+
CVXcanon==0.1.2
|
6 |
+
Cartopy==0.22.0
|
7 |
+
Cython==3.0.8
|
8 |
+
Deprecated==1.2.14
|
9 |
+
Farama-Notifications==0.0.4
|
10 |
+
Flask==3.0.2
|
11 |
+
Geohash==1.0
|
12 |
+
GitPython==3.1.41
|
13 |
+
ImageHash==4.3.1
|
14 |
+
Janome==0.5.0
|
15 |
+
Jinja2==3.1.2
|
16 |
+
Levenshtein==0.25.0
|
17 |
+
LunarCalendar==0.0.9
|
18 |
+
Mako==1.3.2
|
19 |
+
Markdown==3.5.2
|
20 |
+
MarkupSafe==2.1.3
|
21 |
+
MarkupSafe==2.1.5
|
22 |
+
Pillow==9.5.0
|
23 |
+
PuLP==2.8.0
|
24 |
+
PyArabic==0.6.15
|
25 |
+
PyAstronomy==0.21.0
|
26 |
+
PyJWT==2.8.0
|
27 |
+
PyMeeus==0.5.12
|
28 |
+
PySocks==1.7.1
|
29 |
+
PyUpSet==0.1.1.post7
|
30 |
+
PyWavelets==1.5.0
|
31 |
+
PyYAML==6.0.1
|
32 |
+
Pygments==2.17.2
|
33 |
+
Pympler==1.0.1
|
34 |
+
QtPy==2.4.1
|
35 |
+
Rtree==1.2.0
|
36 |
+
SQLAlchemy==2.0.25
|
37 |
+
SecretStorage==3.3.3
|
38 |
+
Send2Trash==1.8.2
|
39 |
+
Shapely==1.8.5.post1
|
40 |
+
Shimmy==1.3.0
|
41 |
+
SimpleITK==2.3.1
|
42 |
+
TPOT==0.12.1
|
43 |
+
Theano-PyMC==1.1.2
|
44 |
+
Theano==1.0.5
|
45 |
+
Unidecode==1.3.8
|
46 |
+
Wand==0.6.13
|
47 |
+
Werkzeug==3.0.1
|
48 |
+
absl-py==1.4.0
|
49 |
+
accelerate==0.28.0
|
50 |
+
access==1.1.9
|
51 |
+
affine==2.4.0
|
52 |
+
aiobotocore==2.12.1
|
53 |
+
aiofiles==22.1.0
|
54 |
+
aiohttp-cors==0.7.0
|
55 |
+
aiohttp==3.9.1
|
56 |
+
aioitertools==0.11.0
|
57 |
+
aiorwlock==1.3.0
|
58 |
+
aiosignal==1.3.1
|
59 |
+
aiosqlite==0.19.0
|
60 |
+
albumentations==1.4.0
|
61 |
+
alembic==1.13.1
|
62 |
+
altair==5.2.0
|
63 |
+
annotated-types==0.6.0
|
64 |
+
annoy==1.17.3
|
65 |
+
anyio==4.2.0
|
66 |
+
apache-beam==2.46.0
|
67 |
+
aplus==0.11.0
|
68 |
+
appdirs==1.4.4
|
69 |
+
archspec==0.2.2
|
70 |
+
argon2-cffi-bindings==21.2.0
|
71 |
+
argon2-cffi==23.1.0
|
72 |
+
array-record==0.5.0
|
73 |
+
arrow==1.3.0
|
74 |
+
arviz==0.17.1
|
75 |
+
astroid==3.0.3
|
76 |
+
astropy-iers-data==0.2024.3.18.0.29.47
|
77 |
+
astropy==6.0.0
|
78 |
+
asttokens==2.4.1
|
79 |
+
astunparse==1.6.3
|
80 |
+
async-lru==2.0.4
|
81 |
+
async-timeout==4.0.3
|
82 |
+
attrs==23.2.0
|
83 |
+
audioread==3.0.1
|
84 |
+
autopep8==2.0.4
|
85 |
+
backoff==2.2.1
|
86 |
+
bayesian-optimization==1.4.3
|
87 |
+
beatrix_jupyterlab==2023.128.151533
|
88 |
+
beautifulsoup4==4.12.2
|
89 |
+
bidict==0.23.1
|
90 |
+
bitsandbytes==0.43.0
|
91 |
+
blake3==0.2.1
|
92 |
+
bleach==6.1.0
|
93 |
+
blessed==1.20.0
|
94 |
+
blinker==1.7.0
|
95 |
+
blis==0.7.10
|
96 |
+
blosc2==2.5.1
|
97 |
+
bokeh==3.3.4
|
98 |
+
boltons==23.1.1
|
99 |
+
boto3==1.26.100
|
100 |
+
botocore==1.34.51
|
101 |
+
bq_helper==0.4.1
|
102 |
+
bqplot==0.12.43
|
103 |
+
branca==0.7.1
|
104 |
+
brewer2mpl==1.4.1
|
105 |
+
brotlipy==0.7.0
|
106 |
+
cached-property==1.5.2
|
107 |
+
cachetools==4.2.4
|
108 |
+
cachetools==5.3.2
|
109 |
+
catalogue==2.0.10
|
110 |
+
catalyst==22.4
|
111 |
+
catboost==1.2.3
|
112 |
+
category-encoders==2.6.3
|
113 |
+
certifi==2024.2.2
|
114 |
+
cesium==0.12.1
|
115 |
+
cffi==1.16.0
|
116 |
+
charset-normalizer==3.3.2
|
117 |
+
chex==0.1.85
|
118 |
+
cleverhans==4.0.0
|
119 |
+
click-plugins==1.1.1
|
120 |
+
click==8.1.7
|
121 |
+
cligj==0.7.2
|
122 |
+
cloud-tpu-client==0.10
|
123 |
+
cloud-tpu-profiler==2.4.0
|
124 |
+
cloudpathlib==0.16.0
|
125 |
+
cloudpickle==2.2.1
|
126 |
+
cloudpickle==3.0.0
|
127 |
+
cmdstanpy==1.2.1
|
128 |
+
cmudict==1.0.21
|
129 |
+
colorama==0.4.6
|
130 |
+
colorcet==3.1.0
|
131 |
+
colorful==0.5.6
|
132 |
+
colorlog==6.8.2
|
133 |
+
colorlover==0.3.0
|
134 |
+
comm==0.2.1
|
135 |
+
conda-libmamba-solver==23.7.0
|
136 |
+
conda-package-handling==2.2.0
|
137 |
+
conda==23.7.4
|
138 |
+
conda_package_streaming==0.9.0
|
139 |
+
confection==0.1.4
|
140 |
+
contextily==1.5.2
|
141 |
+
contourpy==1.2.0
|
142 |
+
convertdate==2.4.0
|
143 |
+
crcmod==1.7
|
144 |
+
cryptography==41.0.7
|
145 |
+
cuda-python==12.4.0
|
146 |
+
cudf==23.8.0
|
147 |
+
cufflinks==0.17.3
|
148 |
+
cuml==23.8.0
|
149 |
+
cupy==13.0.0
|
150 |
+
cycler==0.12.1
|
151 |
+
cymem==2.0.8
|
152 |
+
cytoolz==0.12.3
|
153 |
+
daal4py==2024.1.0
|
154 |
+
daal==2024.1.0
|
155 |
+
dacite==1.8.1
|
156 |
+
dask-cuda==23.8.0
|
157 |
+
dask-cudf==23.8.0
|
158 |
+
dask-expr==1.0.4
|
159 |
+
dask==2024.3.1
|
160 |
+
dataclasses-json==0.6.4
|
161 |
+
dataproc_jupyter_plugin==0.1.66
|
162 |
+
datasets==2.16.0
|
163 |
+
datashader==0.16.0
|
164 |
+
datatile==1.0.3
|
165 |
+
db-dtypes==1.2.0
|
166 |
+
deap==1.4.1
|
167 |
+
debugpy==1.8.0
|
168 |
+
decorator==5.1.1
|
169 |
+
deepdiff==6.7.1
|
170 |
+
defusedxml==0.7.1
|
171 |
+
deprecation==2.1.0
|
172 |
+
descartes==1.1.0
|
173 |
+
dill==0.3.7
|
174 |
+
dipy==1.9.0
|
175 |
+
distlib==0.3.8
|
176 |
+
distributed==2023.7.1
|
177 |
+
distro==1.9.0
|
178 |
+
dm-tree==0.1.8
|
179 |
+
docker-pycreds==0.4.0
|
180 |
+
docker==7.0.0
|
181 |
+
docopt==0.6.2
|
182 |
+
docstring-parser==0.15
|
183 |
+
docstring-to-markdown==0.15
|
184 |
+
docutils==0.20.1
|
185 |
+
earthengine-api==0.1.394
|
186 |
+
easydict==1.13
|
187 |
+
easyocr==1.7.1
|
188 |
+
ecos==2.0.13
|
189 |
+
eli5==0.13.0
|
190 |
+
emoji==2.10.1
|
191 |
+
en-core-web-lg==3.7.1
|
192 |
+
en-core-web-sm==3.7.1
|
193 |
+
entrypoints==0.4
|
194 |
+
ephem==4.1.5
|
195 |
+
esda==2.5.1
|
196 |
+
essentia==2.1b6.dev1110
|
197 |
+
et-xmlfile==1.1.0
|
198 |
+
etils==1.6.0
|
199 |
+
exceptiongroup==1.2.0
|
200 |
+
executing==2.0.1
|
201 |
+
explainable-ai-sdk==1.3.3
|
202 |
+
fastai==2.7.14
|
203 |
+
fastapi==0.108.0
|
204 |
+
fastavro==1.9.3
|
205 |
+
fastcore==1.5.29
|
206 |
+
fastdownload==0.0.7
|
207 |
+
fasteners==0.19
|
208 |
+
fastjsonschema==2.19.1
|
209 |
+
fastprogress==1.0.3
|
210 |
+
fastrlock==0.8.2
|
211 |
+
fasttext==0.9.2
|
212 |
+
feather-format==0.4.1
|
213 |
+
featuretools==1.30.0
|
214 |
+
filelock==3.13.1
|
215 |
+
fiona==1.9.6
|
216 |
+
fitter==1.7.0
|
217 |
+
flake8==7.0.0
|
218 |
+
flashtext==2.7
|
219 |
+
flatbuffers==23.5.26
|
220 |
+
flax==0.8.2
|
221 |
+
folium==0.16.0
|
222 |
+
fonttools==4.47.0
|
223 |
+
fonttools==4.49.0
|
224 |
+
fqdn==1.5.1
|
225 |
+
frozendict==2.4.0
|
226 |
+
frozenlist==1.4.1
|
227 |
+
fsspec==2023.10.0
|
228 |
+
funcy==2.0
|
229 |
+
fury==0.10.0
|
230 |
+
future==1.0.0
|
231 |
+
fuzzywuzzy==0.18.0
|
232 |
+
gast==0.5.4
|
233 |
+
gatspy==0.3
|
234 |
+
gcsfs==2023.12.2.post1
|
235 |
+
gensim==4.3.2
|
236 |
+
geographiclib==2.0
|
237 |
+
geojson==3.1.0
|
238 |
+
geopandas==0.14.3
|
239 |
+
geoplot==0.5.1
|
240 |
+
geopy==2.4.1
|
241 |
+
geoviews==1.11.1
|
242 |
+
ggplot==0.11.5
|
243 |
+
giddy==2.3.5
|
244 |
+
gitdb==4.0.11
|
245 |
+
google-ai-generativelanguage==0.4.0
|
246 |
+
google-api-core==2.11.1
|
247 |
+
google-api-core==2.17.1
|
248 |
+
google-api-python-client==2.122.0
|
249 |
+
google-apitools==0.5.31
|
250 |
+
google-auth-httplib2==0.1.1
|
251 |
+
google-auth-oauthlib==1.2.0
|
252 |
+
google-auth==2.26.1
|
253 |
+
google-cloud-aiplatform==0.6.0a1
|
254 |
+
google-cloud-artifact-registry==1.10.0
|
255 |
+
google-cloud-automl==1.0.1
|
256 |
+
google-cloud-bigquery==2.34.4
|
257 |
+
google-cloud-bigtable==1.7.3
|
258 |
+
google-cloud-core==2.4.1
|
259 |
+
google-cloud-datastore==2.19.0
|
260 |
+
google-cloud-dlp==3.14.0
|
261 |
+
google-cloud-jupyter-config==0.0.5
|
262 |
+
google-cloud-language==2.13.3
|
263 |
+
google-cloud-monitoring==2.18.0
|
264 |
+
google-cloud-pubsub==2.19.0
|
265 |
+
google-cloud-pubsublite==1.9.0
|
266 |
+
google-cloud-recommendations-ai==0.7.1
|
267 |
+
google-cloud-resource-manager==1.11.0
|
268 |
+
google-cloud-spanner==3.40.1
|
269 |
+
google-cloud-storage==1.44.0
|
270 |
+
google-cloud-translate==3.12.1
|
271 |
+
google-cloud-videointelligence==2.13.3
|
272 |
+
google-cloud-vision==2.8.0
|
273 |
+
google-crc32c==1.5.0
|
274 |
+
google-generativeai==0.4.1
|
275 |
+
google-pasta==0.2.0
|
276 |
+
google-resumable-media==2.7.0
|
277 |
+
googleapis-common-protos==1.62.0
|
278 |
+
gplearn==0.4.2
|
279 |
+
gpustat==1.0.0
|
280 |
+
gpxpy==1.6.2
|
281 |
+
graphviz==0.20.2
|
282 |
+
greenlet==3.0.3
|
283 |
+
grpc-google-iam-v1==0.12.7
|
284 |
+
grpcio-status==1.48.1
|
285 |
+
grpcio-status==1.48.2
|
286 |
+
grpcio==1.51.1
|
287 |
+
grpcio==1.60.0
|
288 |
+
gviz-api==1.10.0
|
289 |
+
gym-notices==0.0.8
|
290 |
+
gym==0.26.2
|
291 |
+
gymnasium==0.29.0
|
292 |
+
h11==0.14.0
|
293 |
+
h2o==3.46.0.1
|
294 |
+
h5netcdf==1.3.0
|
295 |
+
h5py==3.10.0
|
296 |
+
haversine==2.8.1
|
297 |
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hdfs==2.7.3
|
298 |
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hep-ml==0.7.2
|
299 |
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hijri-converter==2.3.1
|
300 |
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hmmlearn==0.3.2
|
301 |
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holidays==0.24
|
302 |
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holoviews==1.18.3
|
303 |
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hpsklearn==0.1.0
|
304 |
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html5lib==1.1
|
305 |
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htmlmin==0.1.12
|
306 |
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httpcore==1.0.4
|
307 |
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httplib2==0.21.0
|
308 |
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httptools==0.6.1
|
309 |
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httpx==0.27.0
|
310 |
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huggingface-hub==0.21.4
|
311 |
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hunspell==0.5.5
|
312 |
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husl==4.0.3
|
313 |
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hydra-slayer==0.5.0
|
314 |
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hyperopt==0.2.7
|
315 |
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hypertools==0.8.0
|
316 |
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idna==3.6
|
317 |
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igraph==0.11.4
|
318 |
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imagecodecs==2024.1.1
|
319 |
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imageio==2.33.1
|
320 |
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imbalanced-learn==0.12.0
|
321 |
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imgaug==0.4.0
|
322 |
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importlib-metadata==6.11.0
|
323 |
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importlib-metadata==7.0.1
|
324 |
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importlib-resources==6.1.1
|
325 |
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inequality==1.0.1
|
326 |
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iniconfig==2.0.0
|
327 |
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ipydatawidgets==4.3.5
|
328 |
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ipykernel==6.28.0
|
329 |
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ipyleaflet==0.18.2
|
330 |
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ipympl==0.7.0
|
331 |
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ipython-genutils==0.2.0
|
332 |
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ipython-genutils==0.2.0
|
333 |
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ipython-sql==0.5.0
|
334 |
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ipython==8.20.0
|
335 |
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ipyvolume==0.6.3
|
336 |
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ipyvue==1.10.2
|
337 |
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ipyvuetify==1.9.2
|
338 |
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ipywebrtc==0.6.0
|
339 |
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ipywidgets==7.7.1
|
340 |
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isoduration==20.11.0
|
341 |
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isort==5.13.2
|
342 |
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isoweek==1.3.3
|
343 |
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itsdangerous==2.1.2
|
344 |
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jaraco.classes==3.3.0
|
345 |
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jax-jumpy==1.0.0
|
346 |
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jax==0.4.23
|
347 |
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jaxlib==0.4.23.dev20240116
|
348 |
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jedi==0.19.1
|
349 |
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jeepney==0.8.0
|
350 |
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jieba==0.42.1
|
351 |
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jmespath==1.0.1
|
352 |
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joblib==1.3.2
|
353 |
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json5==0.9.14
|
354 |
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jsonpatch==1.33
|
355 |
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jsonpointer==2.4
|
356 |
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jsonschema-specifications==2023.12.1
|
357 |
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jsonschema==4.20.0
|
358 |
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jupyter-console==6.6.3
|
359 |
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jupyter-events==0.9.0
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360 |
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jupyter-http-over-ws==0.0.8
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361 |
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jupyter-lsp==1.5.1
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362 |
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jupyter-server-mathjax==0.2.6
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363 |
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jupyter-ydoc==0.2.5
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364 |
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jupyter_client==7.4.9
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365 |
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jupyter_client==8.6.0
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366 |
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jupyter_core==5.7.1
|
367 |
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jupyter_server==2.13.0
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368 |
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jupyter_server_fileid==0.9.1
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369 |
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jupyter_server_proxy==4.1.0
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370 |
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jupyter_server_terminals==0.5.1
|
371 |
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jupyter_server_ydoc==0.8.0
|
372 |
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jupyterlab-lsp==5.1.0
|
373 |
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jupyterlab-widgets==3.0.9
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374 |
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jupyterlab==4.1.5
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375 |
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jupyterlab_git==0.44.0
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376 |
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jupyterlab_pygments==0.3.0
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377 |
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jupyterlab_server==2.25.2
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378 |
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jupytext==1.16.0
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379 |
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kaggle-environments==1.14.3
|
380 |
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kaggle==1.6.6
|
381 |
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kagglehub==0.2.0
|
382 |
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keras-cv==0.8.2
|
383 |
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keras-nlp==0.8.2
|
384 |
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keras-tuner==1.4.6
|
385 |
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keras==3.0.5
|
386 |
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kernels-mixer==0.0.7
|
387 |
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keyring==24.3.0
|
388 |
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keyrings.google-artifactregistry-auth==1.1.2
|
389 |
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kfp-pipeline-spec==0.2.2
|
390 |
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kfp-server-api==2.0.5
|
391 |
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kfp==2.5.0
|
392 |
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kiwisolver==1.4.5
|
393 |
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kmapper==2.0.1
|
394 |
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kmodes==0.12.2
|
395 |
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korean-lunar-calendar==0.3.1
|
396 |
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kornia==0.7.2
|
397 |
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kornia_rs==0.1.2
|
398 |
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kt-legacy==1.0.5
|
399 |
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kubernetes==26.1.0
|
400 |
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langcodes==3.3.0
|
401 |
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langid==1.1.6
|
402 |
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lazy_loader==0.3
|
403 |
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learntools==0.3.4
|
404 |
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leven==1.0.4
|
405 |
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libclang==16.0.6
|
406 |
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libmambapy==1.5.0
|
407 |
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libpysal==4.9.2
|
408 |
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librosa==0.10.1
|
409 |
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lightgbm==4.2.0
|
410 |
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lightning-utilities==0.10.1
|
411 |
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lime==0.2.0.1
|
412 |
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line-profiler==4.1.2
|
413 |
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linkify-it-py==2.0.3
|
414 |
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llvmlite==0.41.1
|
415 |
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llvmlite==0.42.0
|
416 |
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lml==0.1.0
|
417 |
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locket==1.0.0
|
418 |
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loguru==0.7.2
|
419 |
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lxml==5.1.0
|
420 |
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lz4==4.3.3
|
421 |
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mamba==1.5.0
|
422 |
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mapclassify==2.6.1
|
423 |
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markdown-it-py==3.0.0
|
424 |
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markovify==0.9.4
|
425 |
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marshmallow==3.21.1
|
426 |
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matplotlib-inline==0.1.6
|
427 |
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matplotlib-venn==0.11.10
|
428 |
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matplotlib==3.7.5
|
429 |
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matplotlib==3.8.3
|
430 |
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mccabe==0.7.0
|
431 |
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mdit-py-plugins==0.4.0
|
432 |
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mdurl==0.1.2
|
433 |
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memory-profiler==0.61.0
|
434 |
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menuinst==2.0.1
|
435 |
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mercantile==1.2.1
|
436 |
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mgwr==2.2.1
|
437 |
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missingno==0.5.2
|
438 |
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mistune==0.8.4
|
439 |
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mizani==0.11.0
|
440 |
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ml-dtypes==0.2.0
|
441 |
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mlcrate==0.2.0
|
442 |
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mlens==0.2.3
|
443 |
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mlxtend==0.23.1
|
444 |
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mmh3==4.1.0
|
445 |
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mne==1.6.1
|
446 |
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mnist==0.2.2
|
447 |
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mock==5.1.0
|
448 |
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momepy==0.7.0
|
449 |
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more-itertools==10.2.0
|
450 |
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mpld3==0.5.10
|
451 |
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mpmath==1.3.0
|
452 |
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msgpack-numpy==0.4.8
|
453 |
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msgpack==1.0.7
|
454 |
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multidict==6.0.4
|
455 |
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multimethod==1.10
|
456 |
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multipledispatch==1.0.0
|
457 |
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multiprocess==0.70.15
|
458 |
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munkres==1.1.4
|
459 |
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murmurhash==1.0.10
|
460 |
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mypy-extensions==1.0.0
|
461 |
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namex==0.0.7
|
462 |
+
nb-conda-kernels==2.3.1
|
463 |
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nb_conda==2.2.1
|
464 |
+
nbclassic==1.0.0
|
465 |
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nbclient==0.5.13
|
466 |
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nbconvert==6.4.5
|
467 |
+
nbdime==3.2.0
|
468 |
+
nbformat==5.9.2
|
469 |
+
ndindex==1.8
|
470 |
+
nest-asyncio==1.5.8
|
471 |
+
networkx==3.2.1
|
472 |
+
nibabel==5.2.1
|
473 |
+
nilearn==0.10.3
|
474 |
+
ninja==1.11.1.1
|
475 |
+
nltk==3.2.4
|
476 |
+
nose==1.3.7
|
477 |
+
notebook==6.5.4
|
478 |
+
notebook==6.5.6
|
479 |
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notebook_executor==0.2
|
480 |
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notebook_shim==0.2.3
|
481 |
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numba==0.58.1
|
482 |
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numba==0.59.0
|
483 |
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numexpr==2.9.0
|
484 |
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numpy==1.26.4
|
485 |
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nvidia-ml-py==11.495.46
|
486 |
+
nvtx==0.2.10
|
487 |
+
oauth2client==4.1.3
|
488 |
+
oauthlib==3.2.2
|
489 |
+
objsize==0.6.1
|
490 |
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odfpy==1.4.1
|
491 |
+
olefile==0.47
|
492 |
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onnx==1.15.0
|
493 |
+
opencensus-context==0.1.3
|
494 |
+
opencensus==0.11.4
|
495 |
+
opencv-contrib-python==4.9.0.80
|
496 |
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opencv-python-headless==4.9.0.80
|
497 |
+
opencv-python==4.9.0.80
|
498 |
+
openpyxl==3.1.2
|
499 |
+
openslide-python==1.3.1
|
500 |
+
opentelemetry-api==1.22.0
|
501 |
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opentelemetry-exporter-otlp-proto-common==1.22.0
|
502 |
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opentelemetry-exporter-otlp-proto-grpc==1.22.0
|
503 |
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opentelemetry-exporter-otlp-proto-http==1.22.0
|
504 |
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opentelemetry-exporter-otlp==1.22.0
|
505 |
+
opentelemetry-proto==1.22.0
|
506 |
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opentelemetry-sdk==1.22.0
|
507 |
+
opentelemetry-semantic-conventions==0.43b0
|
508 |
+
opt-einsum==3.3.0
|
509 |
+
optax==0.2.1
|
510 |
+
optuna==3.6.0
|
511 |
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orbax-checkpoint==0.5.6
|
512 |
+
ordered-set==4.1.0
|
513 |
+
orjson==3.9.10
|
514 |
+
ortools==9.4.1874
|
515 |
+
osmnx==1.9.1
|
516 |
+
overrides==7.4.0
|
517 |
+
packaging==21.3
|
518 |
+
pandas-datareader==0.10.0
|
519 |
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pandas-profiling==3.6.6
|
520 |
+
pandas-summary==0.2.0
|
521 |
+
pandas==2.1.4
|
522 |
+
pandas==2.2.1
|
523 |
+
pandasql==0.7.3
|
524 |
+
pandocfilters==1.5.0
|
525 |
+
panel==1.3.8
|
526 |
+
papermill==2.5.0
|
527 |
+
param==2.0.2
|
528 |
+
parso==0.8.3
|
529 |
+
partd==1.4.1
|
530 |
+
path.py==12.5.0
|
531 |
+
path==16.10.0
|
532 |
+
pathos==0.3.2
|
533 |
+
pathy==0.10.3
|
534 |
+
patsy==0.5.6
|
535 |
+
pdf2image==1.17.0
|
536 |
+
peft==0.10.0
|
537 |
+
pettingzoo==1.24.0
|
538 |
+
pexpect==4.8.0
|
539 |
+
pexpect==4.9.0
|
540 |
+
phik==0.12.4
|
541 |
+
pickleshare==0.7.5
|
542 |
+
pip==23.3.2
|
543 |
+
pkgutil_resolve_name==1.3.10
|
544 |
+
platformdirs==4.2.0
|
545 |
+
plotly-express==0.4.1
|
546 |
+
plotly==5.18.0
|
547 |
+
plotnine==0.13.2
|
548 |
+
pluggy==1.4.0
|
549 |
+
pointpats==2.4.0
|
550 |
+
polars==0.20.15
|
551 |
+
polyglot==16.7.4
|
552 |
+
pooch==1.8.1
|
553 |
+
pox==0.3.4
|
554 |
+
ppca==0.0.4
|
555 |
+
ppft==1.7.6.8
|
556 |
+
preprocessing==0.1.13
|
557 |
+
preshed==3.0.9
|
558 |
+
prettytable==3.9.0
|
559 |
+
progressbar2==4.4.2
|
560 |
+
prometheus-client==0.19.0
|
561 |
+
promise==2.3
|
562 |
+
prompt-toolkit==3.0.42
|
563 |
+
prompt-toolkit==3.0.43
|
564 |
+
pronouncing==0.2.0
|
565 |
+
prophet==1.1.1
|
566 |
+
proto-plus==1.23.0
|
567 |
+
protobuf==3.20.3
|
568 |
+
protobuf==4.21.12
|
569 |
+
psutil==5.9.3
|
570 |
+
psutil==5.9.7
|
571 |
+
ptyprocess==0.7.0
|
572 |
+
pudb==2024.1
|
573 |
+
pure-eval==0.2.2
|
574 |
+
py-cpuinfo==9.0.0
|
575 |
+
py-spy==0.3.14
|
576 |
+
py4j==0.10.9.7
|
577 |
+
pyLDAvis==3.4.1
|
578 |
+
pyOpenSSL==23.3.0
|
579 |
+
pyaml==23.12.0
|
580 |
+
pyarrow-hotfix==0.6
|
581 |
+
pyarrow==11.0.0
|
582 |
+
pyasn1-modules==0.3.0
|
583 |
+
pyasn1==0.5.1
|
584 |
+
pybind11==2.11.1
|
585 |
+
pyclipper==1.3.0.post5
|
586 |
+
pycodestyle==2.11.1
|
587 |
+
pycosat==0.6.6
|
588 |
+
pycparser==2.21
|
589 |
+
pycryptodome==3.20.0
|
590 |
+
pyct==0.5.0
|
591 |
+
pycuda==2024.1
|
592 |
+
pydantic==2.5.3
|
593 |
+
pydantic==2.6.4
|
594 |
+
pydantic_core==2.14.6
|
595 |
+
pydantic_core==2.16.3
|
596 |
+
pydegensac==0.1.2
|
597 |
+
pydicom==2.4.4
|
598 |
+
pydocstyle==6.3.0
|
599 |
+
pydot==1.4.2
|
600 |
+
pydub==0.25.1
|
601 |
+
pyemd==1.0.0
|
602 |
+
pyerfa==2.0.1.1
|
603 |
+
pyexcel-io==0.6.6
|
604 |
+
pyexcel-ods==0.6.0
|
605 |
+
pyflakes==3.2.0
|
606 |
+
pygltflib==1.16.2
|
607 |
+
pykalman==0.9.5
|
608 |
+
pylibraft==23.8.0
|
609 |
+
pylint==3.0.4
|
610 |
+
pymc3==3.11.4
|
611 |
+
pymongo==3.13.0
|
612 |
+
pynndescent==0.5.11
|
613 |
+
pynvml==11.4.1
|
614 |
+
pynvrtc==9.2
|
615 |
+
pyocr==0.8.5
|
616 |
+
pyparsing==3.1.1
|
617 |
+
pyparsing==3.1.2
|
618 |
+
pypdf==4.1.0
|
619 |
+
pyproj==3.6.1
|
620 |
+
pysal==24.1
|
621 |
+
pyshp==2.3.1
|
622 |
+
pytesseract==0.3.10
|
623 |
+
pytest==8.1.1
|
624 |
+
python-Levenshtein==0.25.0
|
625 |
+
python-bidi==0.4.2
|
626 |
+
python-dateutil==2.9.0.post0
|
627 |
+
python-dotenv==1.0.0
|
628 |
+
python-json-logger==2.0.7
|
629 |
+
python-louvain==0.16
|
630 |
+
python-lsp-jsonrpc==1.1.2
|
631 |
+
python-lsp-server==1.10.1
|
632 |
+
python-slugify==8.0.4
|
633 |
+
python-utils==3.8.2
|
634 |
+
pythreejs==2.4.2
|
635 |
+
pytoolconfig==1.3.1
|
636 |
+
pytools==2023.1.1
|
637 |
+
pytorch-ignite==0.4.13
|
638 |
+
pytorch-lightning==2.2.1
|
639 |
+
pytz==2023.3.post1
|
640 |
+
pytz==2024.1
|
641 |
+
pyu2f==0.1.5
|
642 |
+
pyviz_comms==3.0.1
|
643 |
+
pyzmq==24.0.1
|
644 |
+
pyzmq==25.1.2
|
645 |
+
qgrid==1.3.1
|
646 |
+
qtconsole==5.5.1
|
647 |
+
quantecon==0.7.2
|
648 |
+
quantities==0.15.0
|
649 |
+
qudida==0.0.4
|
650 |
+
raft-dask==23.8.0
|
651 |
+
rapidfuzz==3.6.2
|
652 |
+
rasterio==1.3.9
|
653 |
+
rasterstats==0.19.0
|
654 |
+
ray-cpp==2.9.0
|
655 |
+
ray==2.9.0
|
656 |
+
referencing==0.32.1
|
657 |
+
regex==2023.12.25
|
658 |
+
requests-oauthlib==1.3.1
|
659 |
+
requests-toolbelt==0.10.1
|
660 |
+
requests==2.31.0
|
661 |
+
responses==0.18.0
|
662 |
+
retrying==1.3.3
|
663 |
+
retrying==1.3.4
|
664 |
+
rfc3339-validator==0.1.4
|
665 |
+
rfc3986-validator==0.1.1
|
666 |
+
rgf-python==3.12.0
|
667 |
+
rich-click==1.7.4
|
668 |
+
rich==13.7.0
|
669 |
+
rich==13.7.1
|
670 |
+
rmm==23.8.0
|
671 |
+
rope==1.12.0
|
672 |
+
rpds-py==0.16.2
|
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wandb/run-20240408_194511-wp046ftq/logs/debug-internal.log
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2024-04-08 19:45:11,714 INFO SystemMonitor:124 [interfaces.py:start():190] Started cpu monitoring
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17 |
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2024-04-08 19:45:11,715 INFO SystemMonitor:124 [interfaces.py:start():190] Started disk monitoring
|
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2024-04-08 19:45:11,716 INFO SystemMonitor:124 [interfaces.py:start():190] Started gpu monitoring
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2024-04-08 19:45:11,717 INFO SystemMonitor:124 [interfaces.py:start():190] Started memory monitoring
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2024-04-08 19:45:11,718 INFO SystemMonitor:124 [interfaces.py:start():190] Started network monitoring
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2024-04-08 19:45:11,728 DEBUG HandlerThread:124 [system_info.py:probe():150] Probing system
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2024-04-08 19:45:11,730 DEBUG HandlerThread:124 [system_info.py:probe():198] Probing system done
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2024-04-08 19:45:11,730 DEBUG HandlerThread:124 [system_monitor.py:probe():223] {'os': 'Linux-5.15.133+-x86_64-with-glibc2.31', 'python': '3.10.13', 'heartbeatAt': '2024-04-08T19:45:11.728262', 'startedAt': '2024-04-08T19:45:11.064176', 'docker': None, 'cuda': None, 'args': (), 'state': 'running', 'program': 'kaggle.ipynb', 'codePathLocal': None, 'root': '/kaggle/working', 'host': 'c6b69506ef79', 'username': 'root', 'executable': '/opt/conda/bin/python3.10', 'cpu_count': 2, 'cpu_count_logical': 4, 'cpu_freq': {'current': 2000.124, 'min': 0.0, 'max': 0.0}, 'cpu_freq_per_core': [{'current': 2000.124, 'min': 0.0, 'max': 0.0}, {'current': 2000.124, 'min': 0.0, 'max': 0.0}, {'current': 2000.124, 'min': 0.0, 'max': 0.0}, {'current': 2000.124, 'min': 0.0, 'max': 0.0}], 'disk': {'/': {'total': 8062.387607574463, 'used': 5568.723930358887}}, 'gpu': 'Tesla T4', 'gpu_count': 2, 'gpu_devices': [{'name': 'Tesla T4', 'memory_total': 16106127360}, {'name': 'Tesla T4', 'memory_total': 16106127360}], 'memory': {'total': 31.357559204101562}}
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2024-04-08 19:45:11,730 INFO HandlerThread:124 [system_monitor.py:probe():224] Finished collecting system info
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2024-04-08 19:45:11,730 INFO HandlerThread:124 [system_monitor.py:probe():227] Publishing system info
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2024-04-08 19:45:11,730 DEBUG HandlerThread:124 [system_info.py:_save_conda():207] Saving list of conda packages installed into the current environment
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2024-04-08 19:45:12,610 INFO Thread-12 :124 [dir_watcher.py:_on_file_created():271] file/dir created: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/conda-environment.yaml
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2024-04-08 19:46:08,628 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/conda-environment.yaml
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2024-04-08 19:46:09,053 DEBUG HandlerThread:124 [system_info.py:_save_conda():219] Saving conda packages done
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2024-04-08 19:46:09,053 INFO HandlerThread:124 [system_monitor.py:probe():229] Finished publishing system info
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2024-04-08 19:46:09,063 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:09,063 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:09,063 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:09,063 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:09,063 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:09,063 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:09,064 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: stop_status
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2024-04-08 19:46:09,065 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:09,065 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:09,065 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:09,065 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:09,065 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: pause
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2024-04-08 19:46:09,065 INFO HandlerThread:124 [handler.py:handle_request_pause():708] stopping system metrics thread
|
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2024-04-08 19:46:09,065 INFO HandlerThread:124 [system_monitor.py:finish():203] Stopping system monitor
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2024-04-08 19:46:09,066 INFO HandlerThread:124 [interfaces.py:finish():202] Joined cpu monitor
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59 |
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2024-04-08 19:46:09,068 INFO HandlerThread:124 [interfaces.py:finish():202] Joined disk monitor
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60 |
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2024-04-08 19:46:09,068 DEBUG SystemMonitor:124 [system_monitor.py:_start():172] Starting system metrics aggregation loop
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2024-04-08 19:46:09,068 DEBUG SystemMonitor:124 [system_monitor.py:_start():179] Finished system metrics aggregation loop
|
62 |
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2024-04-08 19:46:09,068 DEBUG SystemMonitor:124 [system_monitor.py:_start():183] Publishing last batch of metrics
|
63 |
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2024-04-08 19:46:09,069 DEBUG SenderThread:124 [sender.py:send_request():405] send_request: python_packages
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2024-04-08 19:46:09,071 DEBUG SenderThread:124 [sender.py:send():378] send: telemetry
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2024-04-08 19:46:09,071 DEBUG SenderThread:124 [sender.py:send_request():405] send_request: stop_status
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2024-04-08 19:46:09,086 INFO HandlerThread:124 [interfaces.py:finish():202] Joined gpu monitor
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2024-04-08 19:46:09,086 INFO HandlerThread:124 [interfaces.py:finish():202] Joined memory monitor
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68 |
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2024-04-08 19:46:09,086 INFO HandlerThread:124 [interfaces.py:finish():202] Joined network monitor
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2024-04-08 19:46:09,087 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
|
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2024-04-08 19:46:09,189 DEBUG SenderThread:124 [sender.py:send():378] send: config
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2024-04-08 19:46:09,190 DEBUG SenderThread:124 [sender.py:send():378] send: metric
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2024-04-08 19:46:09,190 DEBUG SenderThread:124 [sender.py:send():378] send: telemetry
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2024-04-08 19:46:09,190 DEBUG SenderThread:124 [sender.py:send():378] send: metric
|
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2024-04-08 19:46:09,190 WARNING SenderThread:124 [sender.py:send_metric():1316] Seen metric with glob (shouldn't happen)
|
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2024-04-08 19:46:09,190 DEBUG SenderThread:124 [sender.py:send():378] send: telemetry
|
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2024-04-08 19:46:09,191 DEBUG SenderThread:124 [sender.py:send():378] send: files
|
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2024-04-08 19:46:09,191 INFO SenderThread:124 [sender.py:_save_file():1365] saving file wandb-metadata.json with policy now
|
78 |
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2024-04-08 19:46:09,192 DEBUG SenderThread:124 [sender.py:send():378] send: stats
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79 |
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2024-04-08 19:46:09,424 INFO wandb-upload_0:124 [upload_job.py:push():131] Uploaded file /tmp/tmptbku1344wandb/6rd0hhnc-wandb-metadata.json
|
80 |
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2024-04-08 19:46:09,628 INFO Thread-12 :124 [dir_watcher.py:_on_file_created():271] file/dir created: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/output.log
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81 |
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2024-04-08 19:46:09,628 INFO Thread-12 :124 [dir_watcher.py:_on_file_created():271] file/dir created: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/requirements.txt
|
82 |
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2024-04-08 19:46:09,629 INFO Thread-12 :124 [dir_watcher.py:_on_file_created():271] file/dir created: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/wandb-metadata.json
|
83 |
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2024-04-08 19:46:11,629 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/output.log
|
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2024-04-08 19:46:12,198 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:12,629 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/config.yaml
|
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2024-04-08 19:46:13,742 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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87 |
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2024-04-08 19:46:17,279 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
|
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2024-04-08 19:46:18,743 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:21,596 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: resume
|
90 |
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2024-04-08 19:46:21,596 INFO HandlerThread:124 [handler.py:handle_request_resume():699] starting system metrics thread
|
91 |
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2024-04-08 19:46:21,596 INFO HandlerThread:124 [system_monitor.py:start():194] Starting system monitor
|
92 |
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2024-04-08 19:46:21,596 INFO SystemMonitor:124 [system_monitor.py:_start():158] Starting system asset monitoring threads
|
93 |
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2024-04-08 19:46:21,597 INFO SystemMonitor:124 [interfaces.py:start():190] Started cpu monitoring
|
94 |
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2024-04-08 19:46:21,598 INFO SystemMonitor:124 [interfaces.py:start():190] Started disk monitoring
|
95 |
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2024-04-08 19:46:21,599 INFO SystemMonitor:124 [interfaces.py:start():190] Started gpu monitoring
|
96 |
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2024-04-08 19:46:21,601 INFO SystemMonitor:124 [interfaces.py:start():190] Started memory monitoring
|
97 |
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2024-04-08 19:46:21,602 INFO SystemMonitor:124 [interfaces.py:start():190] Started network monitoring
|
98 |
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2024-04-08 19:46:22,281 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
|
99 |
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2024-04-08 19:46:23,744 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:25,657 DEBUG SenderThread:124 [sender.py:send():378] send: config
|
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2024-04-08 19:46:25,659 DEBUG SenderThread:124 [sender.py:send():378] send: metric
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2024-04-08 19:46:25,659 DEBUG SenderThread:124 [sender.py:send():378] send: metric
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103 |
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2024-04-08 19:46:25,659 WARNING SenderThread:124 [sender.py:send_metric():1316] Seen metric with glob (shouldn't happen)
|
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2024-04-08 19:46:27,634 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/output.log
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2024-04-08 19:46:27,660 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:28,763 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:32,660 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:33,769 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:37,661 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:38,780 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:42,667 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:43,639 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/config.yaml
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2024-04-08 19:46:43,787 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:47,855 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:48,793 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:52,855 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:53,794 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:57,856 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:46:57,873 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: partial_history
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2024-04-08 19:46:57,875 DEBUG SenderThread:124 [sender.py:send():378] send: metric
|
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2024-04-08 19:46:57,875 DEBUG SenderThread:124 [sender.py:send():378] send: metric
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2024-04-08 19:46:57,875 DEBUG SenderThread:124 [sender.py:send():378] send: metric
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2024-04-08 19:46:57,875 DEBUG SenderThread:124 [sender.py:send():378] send: metric
|
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2024-04-08 19:46:57,876 DEBUG SenderThread:124 [sender.py:send():378] send: history
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2024-04-08 19:46:57,876 DEBUG SenderThread:124 [sender.py:send_request():405] send_request: summary_record
|
126 |
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2024-04-08 19:46:57,877 INFO SenderThread:124 [sender.py:_save_file():1365] saving file wandb-summary.json with policy end
|
127 |
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2024-04-08 19:46:58,645 INFO Thread-12 :124 [dir_watcher.py:_on_file_created():271] file/dir created: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/wandb-summary.json
|
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2024-04-08 19:46:58,795 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:46:59,645 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/output.log
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2024-04-08 19:47:03,711 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:47:03,796 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:47:08,712 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:47:09,125 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:47:13,718 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
|
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2024-04-08 19:47:14,131 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
|
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2024-04-08 19:47:14,650 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/config.yaml
|
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2024-04-08 19:47:18,821 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:47:19,138 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
|
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2024-04-08 19:47:21,602 DEBUG SystemMonitor:124 [system_monitor.py:_start():172] Starting system metrics aggregation loop
|
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2024-04-08 19:47:21,604 DEBUG SenderThread:124 [sender.py:send():378] send: stats
|
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2024-04-08 19:47:24,139 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:47:24,605 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
|
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2024-04-08 19:47:27,343 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: partial_history
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2024-04-08 19:47:27,345 DEBUG SenderThread:124 [sender.py:send():378] send: history
|
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2024-04-08 19:47:27,345 DEBUG SenderThread:124 [sender.py:send_request():405] send_request: summary_record
|
146 |
+
2024-04-08 19:47:27,345 INFO SenderThread:124 [sender.py:_save_file():1365] saving file wandb-summary.json with policy end
|
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2024-04-08 19:47:27,655 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/wandb-summary.json
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2024-04-08 19:47:29,145 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:47:29,655 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/output.log
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2024-04-08 19:47:30,216 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:47:34,151 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:47:35,216 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:47:39,152 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: keepalive
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2024-04-08 19:47:40,217 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: status_report
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2024-04-08 19:47:41,084 DEBUG HandlerThread:124 [handler.py:handle_request():146] handle_request: partial_history
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2024-04-08 19:47:41,086 DEBUG SenderThread:124 [sender.py:send():378] send: metric
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2024-04-08 19:47:41,086 DEBUG SenderThread:124 [sender.py:send():378] send: metric
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2024-04-08 19:47:41,086 DEBUG SenderThread:124 [sender.py:send():378] send: metric
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2024-04-08 19:47:41,086 DEBUG SenderThread:124 [sender.py:send():378] send: metric
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2024-04-08 19:47:41,086 DEBUG SenderThread:124 [sender.py:send():378] send: metric
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2024-04-08 19:47:41,086 DEBUG SenderThread:124 [sender.py:send():378] send: history
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2024-04-08 19:47:41,087 DEBUG SenderThread:124 [sender.py:send_request():405] send_request: summary_record
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163 |
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2024-04-08 19:47:41,087 INFO SenderThread:124 [sender.py:_save_file():1365] saving file wandb-summary.json with policy end
|
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2024-04-08 19:47:41,659 INFO Thread-12 :124 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240408_194511-wp046ftq/files/wandb-summary.json
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wandb/run-20240408_194511-wp046ftq/logs/debug.log
ADDED
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2024-04-08 19:45:11,065 INFO MainThread:34 [wandb_setup.py:_flush():76] Current SDK version is 0.16.4
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2024-04-08 19:45:11,065 INFO MainThread:34 [wandb_setup.py:_flush():76] Configure stats pid to 34
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2024-04-08 19:45:11,065 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_init.py:_log_setup():526] Logging user logs to /kaggle/working/wandb/run-20240408_194511-wp046ftq/logs/debug.log
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_init.py:_log_setup():527] Logging internal logs to /kaggle/working/wandb/run-20240408_194511-wp046ftq/logs/debug-internal.log
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_init.py:_jupyter_setup():472] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7d61b4bc2410>
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_init.py:init():566] calling init triggers
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_init.py:init():573] wandb.init called with sweep_config: {}
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config: {}
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2024-04-08 19:45:11,066 INFO MainThread:34 [wandb_init.py:init():616] starting backend
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2024-04-08 19:45:11,067 INFO MainThread:34 [wandb_init.py:init():620] setting up manager
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2024-04-08 19:45:11,068 INFO MainThread:34 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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2024-04-08 19:45:11,071 INFO MainThread:34 [wandb_init.py:init():628] backend started and connected
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2024-04-08 19:45:11,084 INFO MainThread:34 [wandb_run.py:_label_probe_notebook():1295] probe notebook
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2024-04-08 19:45:11,498 INFO MainThread:34 [wandb_init.py:init():720] updated telemetry
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2024-04-08 19:45:11,501 INFO MainThread:34 [wandb_init.py:init():753] communicating run to backend with 90.0 second timeout
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2024-04-08 19:45:11,615 INFO MainThread:34 [wandb_run.py:_on_init():2262] communicating current version
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2024-04-08 19:45:11,696 INFO MainThread:34 [wandb_run.py:_on_init():2271] got version response upgrade_message: "wandb version 0.16.6 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
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2024-04-08 19:45:11,696 INFO MainThread:34 [wandb_init.py:init():804] starting run threads in backend
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2024-04-08 19:45:42,707 INFO MainThread:34 [wandb_run.py:_console_start():2241] atexit reg
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2024-04-08 19:45:42,707 INFO MainThread:34 [wandb_run.py:_redirect():2096] redirect: wrap_raw
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2024-04-08 19:45:42,709 INFO MainThread:34 [wandb_run.py:_redirect():2161] Wrapping output streams.
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2024-04-08 19:45:42,709 INFO MainThread:34 [wandb_run.py:_redirect():2186] Redirects installed.
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2024-04-08 19:45:42,711 INFO MainThread:34 [wandb_init.py:init():847] run started, returning control to user process
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2024-04-08 19:45:42,719 INFO MainThread:34 [wandb_run.py:_config_callback():1343] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 2048, 'hidden_size': 2048, 'intermediate_size': 5632, 'num_hidden_layers': 22, 'num_attention_heads': 32, 'num_key_value_heads': 4, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': False, 'rope_theta': 10000.0, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': None, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T', 'transformers_version': '4.38.2', 'model_type': 'llama', 'quantization_config': {'quant_method': 'QuantizationMethod.BITS_AND_BYTES', '_load_in_8bit': False, '_load_in_4bit': True, 'llm_int8_threshold': 6.0, 'llm_int8_skip_modules': None, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': False, 'bnb_4bit_compute_dtype': 'float16', 'load_in_4bit': True, 'load_in_8bit': False}, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'evaluation_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 2, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 5e-05, 'weight_decay': 0.001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 0.1, 'num_train_epochs': 1, 'max_steps': 20000, 'lr_scheduler_type': 'cosine', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.03, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Apr08_19-40-38_c6b69506ef79', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 20, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 20, 'save_total_limit': 1, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_32bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
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2024-04-08 19:46:07,837 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook
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2024-04-08 19:46:07,837 INFO MainThread:34 [wandb_init.py:_pause_backend():437] pausing backend
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2024-04-08 19:46:21,595 INFO MainThread:34 [wandb_init.py:_resume_backend():442] resuming backend
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2024-04-08 19:46:25,653 INFO MainThread:34 [wandb_run.py:_config_callback():1343] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 2048, 'hidden_size': 2048, 'intermediate_size': 5632, 'num_hidden_layers': 22, 'num_attention_heads': 32, 'num_key_value_heads': 4, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': False, 'rope_theta': 10000.0, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': None, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T', 'transformers_version': '4.38.2', 'model_type': 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'lr_scheduler_type': 'cosine', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.03, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Apr08_19-46-21_c6b69506ef79', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 20, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 20, 'save_total_limit': 1, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_32bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
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