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+ ---
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+ license: other
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+ library_name: peft
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+ tags:
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+ - llama-factory
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+ - lora
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+ - generated_from_trainer
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+ base_model: content/drive/MyDrive/LLaMA-Factory/saves/Yi-6B-Chat/lora/lora_8bit_20w
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+ model-index:
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+ - name: oncology
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # oncology
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+
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+ This model is a fine-tuned version of [content/drive/MyDrive/LLaMA-Factory/saves/Yi-6B-Chat/lora/lora_8bit_20w](https://huggingface.co/content/drive/MyDrive/LLaMA-Factory/saves/Yi-6B-Chat/lora/lora_8bit_20w) on the oncology_train_raw dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.6397
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_warmup_steps: 200
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+ - num_epochs: 3.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.7882 | 0.32 | 200 | 1.7318 |
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+ | 1.604 | 0.64 | 400 | 1.7021 |
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+ | 1.706 | 0.96 | 600 | 1.6814 |
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+ | 1.5361 | 1.28 | 800 | 1.6756 |
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+ | 1.5625 | 1.6 | 1000 | 1.6565 |
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+ | 1.606 | 1.91 | 1200 | 1.6396 |
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+ | 1.4462 | 2.23 | 1400 | 1.6514 |
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+ | 1.3236 | 2.55 | 1600 | 1.6478 |
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+ | 1.4728 | 2.87 | 1800 | 1.6453 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.0
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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