Upload my model weights and license (#3)
Browse files- Upload my model weights and license (29854b364b39798767b733d9331f26fbada4998a)
- README.md +32 -0
- adapter_config.json +23 -0
- adapter_model.bin +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +7 -0
- trainer_state.json +736 -0
- training_args.bin +3 -0
README.md
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---
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library_name: peft
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---
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float16
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.5.0.dev0
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- PEFT 0.5.0.dev0
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "ybelkada/falcon-7b-sharded-bf16",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"revision": null,
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"target_modules": [
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"query_key_value",
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"dense",
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"dense_h_to_4h",
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"dense_4h_to_h"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d7b785c5898635bf81d340ce11d1b475c27cede41abc141b8809f3313f70893
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size 522284877
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:71b98472c7a174766e790c7c8716d81b298dac0735ad3a90c502a33dbc4583bb
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size 1044539653
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:01a42de28d0225cbeb5044d25abea7fe423b23d9a0394f696544cfc3b8dc5699
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size 14575
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2a25f133d8edd724f544d8f0f5d6f5fc7c5822269fb2ddbe4f1912a4b23a53a
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size 627
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special_tokens_map.json
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{
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"additional_special_tokens": [
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">>TITLE<<",
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">>ABSTRACT<<",
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">>INTRODUCTION<<",
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">>SUMMARY<<",
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">>COMMENT<<",
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">>ANSWER<<",
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">>QUESTION<<",
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">>DOMAIN<<",
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">>PREFIX<<",
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">>SUFFIX<<",
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">>MIDDLE<<"
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],
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"eos_token": "<|endoftext|>",
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"pad_token": "<|endoftext|>"
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_max_length": 2048,
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.0482994566311129,
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"global_step": 120,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.0,
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"learning_rate": 0.0002,
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"loss": 3.9383,
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"step": 1
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},
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{
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"epoch": 0.0,
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"learning_rate": 0.0002,
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"loss": 4.297,
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"step": 2
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},
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{
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"epoch": 0.0,
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"learning_rate": 0.0002,
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"loss": 4.4497,
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"step": 3
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},
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{
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"epoch": 0.0,
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"learning_rate": 0.0002,
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"loss": 4.1237,
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"step": 4
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},
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{
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"epoch": 0.0,
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"learning_rate": 0.0002,
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"loss": 3.9559,
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"step": 5
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},
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{
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"epoch": 0.0,
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