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Browse files- README.md +1 -14
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- checkpoint-250/adapter_model/README.md +3 -0
- checkpoint-250/adapter_model/adapter_config.json +21 -0
- checkpoint-250/adapter_model/adapter_model.bin +3 -0
- checkpoint-250/optimizer.pt +3 -0
- checkpoint-250/rng_state_0.pth +3 -0
- checkpoint-250/rng_state_1.pth +3 -0
- checkpoint-250/rng_state_2.pth +3 -0
- checkpoint-250/rng_state_3.pth +3 -0
- checkpoint-250/rng_state_4.pth +3 -0
- checkpoint-250/rng_state_5.pth +3 -0
- checkpoint-250/rng_state_6.pth +3 -0
- checkpoint-250/rng_state_7.pth +3 -0
- checkpoint-250/scaler.pt +3 -0
- checkpoint-250/scheduler.pt +3 -0
- checkpoint-250/trainer_state.json +88 -0
- checkpoint-250/training_args.bin +3 -0
- flyte_training_config.json +1 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
README.md
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---
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-
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- yahma/alpaca-cleaned
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language:
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- en
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license: apache-2.0
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tags:
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- pytorch
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- causal-lm
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- llama2
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- fine-tuning
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- alpaca
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---
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# Llama-2-7B fine-tuned on LoRA alpaca-cleaned
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library_name: peft
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---
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adapter_config.json
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{
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"base_model_name_or_path": "georgesung/llama2_7b_chat_uncensored",
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"bias": "none",
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"fan_in_fan_out": false,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"q_proj",
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"k_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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checkpoint-250/adapter_model/README.md
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---
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library_name: peft
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---
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checkpoint-250/adapter_model/adapter_config.json
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flyte_training_config.json
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{"base_model": "georgesung/llama2_7b_chat_uncensored", "data_path": "yahma/alpaca-cleaned", "instruction_key": "instruction", "input_key": "input", "output_key": "output", "output_dir": "./output", "device_map": "auto", "batch_size": 16, "micro_batch_size": 1, "num_epochs": 1, "max_steps": 250, "eval_steps": 200, "save_steps": 50, "learning_rate": 0.0001, "cutoff_len": 512, "val_set_size": 0, "lora_r": 8, "lora_alpha": 16, "lora_dropout": 0.05, "weight_decay": 0.02, "warmup_ratio": 0.03, "lr_scheduler_type": "cosine", "lora_target_modules": ["q_proj", "k_proj", "v_proj"], "train_on_inputs": true, "add_eos_token": true, "group_by_length": true, "resume_from_checkpoint": null, "wandb_project": "unionai-llm-fine-tuning", "wandb_run_name": "", "wandb_watch": "", "wandb_log_model": "", "debug_mode": false, "debug_train_data_size": 1024}
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