Upload folder using huggingface_hub
Browse files- README.md +9 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- checkpoint-224/README.md +47 -0
- checkpoint-224/adapter_config.json +21 -0
- checkpoint-224/adapter_model.bin +3 -0
- checkpoint-224/optimizer.pt +3 -0
- checkpoint-224/pytorch_model.bin +3 -0
- checkpoint-224/rng_state_0.pth +3 -0
- checkpoint-224/rng_state_1.pth +3 -0
- checkpoint-224/scheduler.pt +3 -0
- checkpoint-224/special_tokens_map.json +6 -0
- checkpoint-224/tokenizer.json +0 -0
- checkpoint-224/tokenizer.model +3 -0
- checkpoint-224/tokenizer_config.json +40 -0
- checkpoint-224/trainer_state.json +25 -0
- checkpoint-224/training_args.bin +3 -0
- runs/Sep21_01-35-32_14c0515f067d/events.out.tfevents.1695260135.14c0515f067d.656.0 +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +40 -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": "meta-llama/Llama-2-7b-chat-hf",
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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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"q_proj",
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"v_proj"
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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:f1e132534000a2a676d4f4e18f36ab9ee47233863a0fb95bcefd403c226c75eb
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size 33600461
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checkpoint-224/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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### 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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checkpoint-224/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
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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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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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checkpoint-224/adapter_model.bin
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size 33600461
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checkpoint-224/optimizer.pt
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checkpoint-224/pytorch_model.bin
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checkpoint-224/rng_state_0.pth
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checkpoint-224/rng_state_1.pth
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checkpoint-224/scheduler.pt
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checkpoint-224/special_tokens_map.json
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "</s>",
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"unk_token": "<unk>"
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}
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checkpoint-224/tokenizer.json
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checkpoint-224/tokenizer.model
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checkpoint-224/tokenizer_config.json
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},
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}
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},
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"additional_special_tokens": [],
|
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 1024,
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"pad_token": null,
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
|
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"unk_token": "<unk>",
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"use_default_system_prompt": true
|
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}
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checkpoint-224/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": 1.991111111111111,
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"eval_steps": 500,
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"global_step": 224,
|
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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": 1.59,
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"learning_rate": 4.477611940298508e-05,
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"loss": 0.5296,
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"step": 179
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}
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],
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"logging_steps": 179,
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"max_steps": 224,
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"num_train_epochs": 2,
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"save_steps": 500,
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"total_flos": 2.91358117365547e+17,
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"trial_name": null,
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"trial_params": null
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}
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checkpoint-224/training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 4027
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runs/Sep21_01-35-32_14c0515f067d/events.out.tfevents.1695260135.14c0515f067d.656.0
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version https://git-lfs.github.com/spec/v1
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special_tokens_map.json
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{
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"pad_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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size 499723
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tokenizer_config.json
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{
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},
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"2": {
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"special": true
|
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}
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},
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"additional_special_tokens": [],
|
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 1024,
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
|
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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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 sha256:1ebc4e4b4d916ceb12e499f862d0e0f45b5bf16e7e76663d8e9695725eb75318
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size 4027
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training_params.json
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+
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