--- license: llama2 base_model: codellama/CodeLlama-7b-hf tags: - generated_from_trainer model-index: - name: llama2-7b-rust-finetune results: [] --- # llama2-7b-rust-finetune This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5347 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2.5e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 1 - training_steps: 500 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 0.0 | 100 | 0.5443 | | No log | 0.01 | 200 | 0.5385 | | No log | 0.01 | 300 | 0.5362 | | No log | 0.01 | 400 | 0.5351 | | 0.5389 | 0.02 | 500 | 0.5347 | ### Framework versions - Transformers 4.34.0 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.14.1