Training in progress, step 20

adapter_config.json

@@ -20,7 +20,6 @@
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   "revision": null,
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     "query_key_value"
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   "task_type": "CAUSAL_LM",

adapter_model.safetensors

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runs/Apr14_08-02-48_22f82e031f6d/events.out.tfevents.1713081770.22f82e031f6d.90.0

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tokenizer.json

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training_args.bin

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wandb/debug-internal.log

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 Traceback (most recent call last):
   File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/internal/system/system_info.py", line 214, in _save_conda
     subprocess.call(
@@ -37,123 +37,60 @@ Traceback (most recent call last):
   File "/opt/conda/lib/python3.10/subprocess.py", line 1951, in _wait
     raise TimeoutExpired(self.args, timeout)
 subprocess.TimeoutExpired: Command '['conda', 'env', 'export']' timed out after 15 seconds
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wandb/debug.log

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'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': None, 'hub_model_id': 'Femboyuwu2000/bloomz-1b1-vn-chat', 'hub_strategy': 'checkpoint', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': True, '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, 'optim_target_modules': None}
+2024-04-14 08:08:45,548 INFO    MainThread:90 [wandb_init.py:init():805] starting run threads in backend
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+2024-04-14 08:09:01,705 INFO    MainThread:90 [wandb_run.py:_redirect():2178] redirect: wrap_raw
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+2024-04-14 08:09:01,707 INFO    MainThread:90 [wandb_run.py:_redirect():2268] Redirects installed.
+2024-04-14 08:09:01,708 INFO    MainThread:90 [wandb_init.py:init():848] run started, returning control to user process
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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': ['BloomForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'pad_token_id': 3, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'bigscience/bloomz-1b1', 'transformers_version': '4.39.3', 'attention_softmax_in_fp32': True, 'bias_dropout_fusion': True, 'unk_token_id': 0, 'masked_softmax_fusion': True, 'model_type': 'bloom', 'n_inner': None, 'offset_alibi': 100, 'seq_length': 2048, 'skip_bias_add': True, 'skip_bias_add_qkv': False, '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': True, 'bnb_4bit_compute_dtype': 'float16', 'bnb_4bit_quant_storage': 'uint8', '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': 8, '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': 0.0001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 0.3, 'num_train_epochs': 5, 'max_steps': 10000, '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/Apr14_08-02-48_22f82e031f6d', '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': True, '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, 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wandb/run-20240414_080844-fw7v7n5v/files/config.yaml

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+wandb_version: 1
+
+_wandb:
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+  value:
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+    cli_version: 0.16.5
+    framework: huggingface
+    huggingface_version: 4.39.3
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+    is_kaggle_kernel: true
+    start_time: 1713082124.0
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+      3:
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+      4: 3.10.13
+      5: 0.16.5
+      6: 4.39.3
+      8:
+      - 1
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+      9:
+        1: transformers_trainer
+      13: linux-x86_64
+    m:
+    - 1: train/global_step
+      6:
+      - 3
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+  value: 250880
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+  value: 1.0e-05
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+  - BloomForCausalLM
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+  value:
+    '0': LABEL_0
+    '1': LABEL_1
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+    LABEL_1: 1
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+  value: bigscience/bloomz-1b1
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+    llm_int8_threshold: 6.0
+    llm_int8_skip_modules: null
+    llm_int8_enable_fp32_cpu_offload: false
+    llm_int8_has_fp16_weight: false
+    bnb_4bit_quant_type: nf4
+    bnb_4bit_use_double_quant: true
+    bnb_4bit_compute_dtype: float16
+    bnb_4bit_quant_storage: uint8
+    load_in_4bit: true
+    load_in_8bit: false
+output_dir:
+  desc: null
+  value: /kaggle/working/
+overwrite_output_dir:
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+  value: 'no'
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+  value: 8
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+  value: 1.0e-08
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+  value: 5
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+  value: 10000
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+  value: cosine
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+  desc: null
+  value: {}
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+  value: 0.03
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+  value: /kaggle/working/runs/Apr14_08-02-48_22f82e031f6d
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wandb/run-20240414_080844-fw7v7n5v/files/output.log

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+/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.

wandb/run-20240414_080844-fw7v7n5v/files/requirements.txt

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+    subprocess.call(
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+    return p.wait(timeout=timeout)
+  File "/opt/conda/lib/python3.10/subprocess.py", line 1209, in wait
+    return self._wait(timeout=timeout)
+  File "/opt/conda/lib/python3.10/subprocess.py", line 1951, in _wait
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