Commit
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5813794
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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +9 -0
- adapter_config.json +20 -0
- adapter_model.bin +3 -0
- checkpoint-764/README.md +60 -0
- checkpoint-764/adapter_config.json +20 -0
- checkpoint-764/adapter_model.bin +3 -0
- checkpoint-764/optimizer.pt +3 -0
- checkpoint-764/pytorch_model.bin +3 -0
- checkpoint-764/rng_state.pth +3 -0
- checkpoint-764/scheduler.pt +3 -0
- checkpoint-764/special_tokens_map.json +17 -0
- checkpoint-764/tokenizer.json +0 -0
- checkpoint-764/tokenizer_config.json +7 -0
- checkpoint-764/trainer_state.json +25 -0
- checkpoint-764/training_args.bin +3 -0
- runs/Sep11_10-28-48_nk-gpu-vllm-80/events.out.tfevents.1694428128.nk-gpu-vllm-80.25120.0 +3 -0
- runs/Sep11_11-13-01_nk-gpu-vllm-80/events.out.tfevents.1694430781.nk-gpu-vllm-80.26167.0 +3 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +7 -0
- training_args.bin +3 -0
- training_params.json +1 -0
README.md
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---
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tags:
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- autotrain
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- text-generation
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widget:
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- text: "I love AutoTrain because "
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---
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# Model Trained Using AutoTrain
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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": "tiiuae/falcon-7b",
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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": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"revision": null,
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"target_modules": [
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"query_key_value"
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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 sha256:8d838ff47784cfe603006633193f5bbe026f50f9bd0b94cadcbddfb8f3b4ed75
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size 18898161
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checkpoint-764/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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- quant_method: bitsandbytes
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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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- quant_method: bitsandbytes
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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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- quant_method: bitsandbytes
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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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- quant_method: bitsandbytes
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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 0.6.0.dev0
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- PEFT 0.6.0.dev0
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- PEFT 0.6.0.dev0
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- PEFT 0.6.0.dev0
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checkpoint-764/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "tiiuae/falcon-7b",
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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": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"revision": null,
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"target_modules": [
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"query_key_value"
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],
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"task_type": "CAUSAL_LM"
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}
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checkpoint-764/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d838ff47784cfe603006633193f5bbe026f50f9bd0b94cadcbddfb8f3b4ed75
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size 18898161
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checkpoint-764/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 37802629
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checkpoint-764/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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checkpoint-764/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14575
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checkpoint-764/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a93efdc3d9b621530246b5f2b138599848e41376319d53ee238cc785bfd2a69
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size 627
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checkpoint-764/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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checkpoint-764/tokenizer.json
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The diff for this file is too large to render.
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checkpoint-764/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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checkpoint-764/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": 0.9996728819103696,
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"eval_steps": 500,
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"global_step": 764,
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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": 0.8,
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"learning_rate": 4.4541484716157205e-05,
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"loss": 1.6704,
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"step": 611
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}
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],
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"logging_steps": 611,
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"max_steps": 764,
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"num_train_epochs": 1,
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"save_steps": 500,
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"total_flos": 6.229887460520755e+16,
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"trial_name": null,
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"trial_params": null
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}
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checkpoint-764/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:46bf9da96833c2851b91f18321ada83fa587bf1542368aea46cb3d26363c9d2a
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size 4091
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runs/Sep11_10-28-48_nk-gpu-vllm-80/events.out.tfevents.1694428128.nk-gpu-vllm-80.25120.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:815047f0b2f8f3ee3671abb8cc7be83e1ed7b8662f80256c67e3a7d7f155f2e7
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size 5473
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runs/Sep11_11-13-01_nk-gpu-vllm-80/events.out.tfevents.1694430781.nk-gpu-vllm-80.26167.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:99295cd274b98a1a26e8ee640a6ba5e3f6873fb79d04b97b332ca967f230999e
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size 5473
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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<<",
|
7 |
+
">>COMMENT<<",
|
8 |
+
">>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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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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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:46bf9da96833c2851b91f18321ada83fa587bf1542368aea46cb3d26363c9d2a
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size 4091
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training_params.json
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{"model": "tiiuae/falcon-7b", "data_path": "data/", "project_name": "my_autotrain_falcon_7b_v2", "train_split": "train", "valid_split": null, "text_column": "text", "lr": 0.0002, "epochs": 1, "batch_size": 1, "warmup_ratio": 0.1, "gradient_accumulation": 4, "optimizer": "adamw_torch", "scheduler": "linear", "weight_decay": 0.01, "max_grad_norm": 1.0, "seed": 42, "add_eos_token": false, "block_size": 1024, "use_peft": true, "lora_r": 16, "lora_alpha": 32, "lora_dropout": 0.05, "logging_steps": -1, "evaluation_strategy": "epoch", "save_total_limit": 1, "save_strategy": "epoch", "auto_find_batch_size": false, "fp16": true, "push_to_hub": true, "use_int8": false, "model_max_length": 1024, "repo_id": "swapnilborude/falcon_7b_version_v3", "use_int4": true, "trainer": "default", "target_modules": null, "merge_adapter": false, "username": null}
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