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  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: peft
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+ license: llama3.1
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+ base_model: meta-llama/Llama-3.1-8B
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+ tags:
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+ - base_model:adapter:meta-llama/Llama-3.1-8B
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+ - lora
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+ - transformers
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: medical-doc-classifier-llama31-8b
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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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+ # medical-doc-classifier-llama31-8b
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+
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+ This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0089
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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: 0.0002
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 8
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+ - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 2
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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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+ | 0.0200 | 0.0990 | 500 | 0.0077 |
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+ | 0.0087 | 0.1980 | 1000 | 0.0186 |
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+ | 0.0022 | 0.2971 | 1500 | 0.0117 |
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+ | 0.0454 | 0.3961 | 2000 | 0.0089 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.18.1
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+ - Transformers 5.0.0
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+ - Pytorch 2.10.0+cu128
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+ - Datasets 4.5.0
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+ - Tokenizers 0.22.2
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