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+ ---
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+ license: llama2
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+ base_model: codellama/CodeLlama-7b-hf
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: llama2-7b-rust-finetune
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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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+ # llama2-7b-rust-finetune
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+
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+ This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the-stack-rust-clean dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5347
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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: 2.5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 1
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+ - training_steps: 500
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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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+ | No log | 0.0 | 100 | 0.5443 |
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+ | No log | 0.01 | 200 | 0.5385 |
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+ | No log | 0.01 | 300 | 0.5362 |
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+ | No log | 0.01 | 400 | 0.5351 |
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+ | 0.5389 | 0.02 | 500 | 0.5347 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1