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MedGuac70BLlamaV2_2/README.md
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---
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library_name: peft
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---
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MedGuac70BLlamaV2_2/adapter_config.json
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{
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"base_model_name_or_path": "models\\llama-2-70b-Guanaco-QLoRA-fp16",
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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": 256,
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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": 128,
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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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MedGuac70BLlamaV2_2/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf958ccf94a4ddb65ca7c76cc73802d4a136530350c6696fa758bc3d3af682c3
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size 1048691853
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MedGuac70BLlamaV2_2/training_log.json
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{
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"base_model_name": "llama-2-70b-Guanaco-QLoRA-fp16",
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"base_model_class": "LlamaForCausalLM",
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"base_loaded_in_4bit": true,
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"base_loaded_in_8bit": false,
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"projections": "q, v",
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"loss": 0.964,
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"learning_rate": 8.68421052631579e-05,
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"epoch": 2.84,
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"current_steps": 1323,
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"train_runtime": 6257.8339,
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"train_samples_per_second": 0.908,
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"train_steps_per_second": 0.007,
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"total_flos": 2.8663842040971264e+17,
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"train_loss": 1.2440977039791288
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}
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MedGuac70BLlamaV2_2/training_parameters.json
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{
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"lora_name": "MedGuac70BLlamaV2_2",
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"always_override": false,
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"save_steps": 100.0,
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"micro_batch_size": 4,
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"batch_size": 128,
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"epochs": 3.0,
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"learning_rate": "3e-4",
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"lr_scheduler_type": "linear",
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"lora_rank": 128,
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"lora_alpha": 256,
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"lora_dropout": 0.05,
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"cutoff_len": 256,
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"dataset": "None",
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"eval_dataset": "None",
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"format": "None",
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"eval_steps": 100.0,
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"raw_text_file": "MedTextGuacFormat",
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"overlap_len": 128,
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"newline_favor_len": 128,
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"higher_rank_limit": false,
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"warmup_steps": 100.0,
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"optimizer": "adamw_torch",
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"hard_cut_string": "\\n",
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"train_only_after": "",
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"stop_at_loss": 0,
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"add_eos_token": false,
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"min_chars": 0.0,
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"report_to": "None"
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}
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MedGuac70BLlamaV2_2/training_prompt.json
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{
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"template_type": "raw_text"
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}
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TrainingSettings.png
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