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--- |
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license: llama2 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: codellama/CodeLlama-7b-hf |
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model-index: |
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- name: fine-tuning-code_llama_lib_4 |
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results: [] |
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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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# fine-tuning-code_llama_lib_4 |
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This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1215 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 3 |
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- eval_batch_size: 3 |
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- seed: 42 |
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- gradient_accumulation_steps: 5 |
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- total_train_batch_size: 15 |
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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: 60 |
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- num_epochs: 11 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.7737 | 1.0 | 63 | 0.6034 | |
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| 0.4194 | 2.0 | 126 | 0.3423 | |
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| 0.2123 | 3.0 | 189 | 0.2168 | |
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| 0.1542 | 4.0 | 252 | 0.1721 | |
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| 0.1343 | 5.0 | 315 | 0.1508 | |
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| 0.1224 | 6.0 | 378 | 0.1395 | |
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| 0.1141 | 7.0 | 441 | 0.1321 | |
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| 0.1075 | 8.0 | 504 | 0.1273 | |
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| 0.1028 | 9.0 | 567 | 0.1243 | |
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| 0.0993 | 10.0 | 630 | 0.1220 | |
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| 0.0973 | 11.0 | 693 | 0.1215 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.2 |
