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--- |
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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: codellam/CodeLlama-13b-Instruct-hf |
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model-index: |
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- name: peft-lora-CodeLlama-13b-unity-copilot |
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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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# peft-lora-CodeLlama-13b-unity-copilot |
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This model is a fine-tuned version of [codellama/CodeLlama-13b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1825 |
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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: 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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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 2000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.1196 | 0.05 | 100 | 0.3165 | |
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| 0.2451 | 0.1 | 200 | 0.2333 | |
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| 0.2358 | 0.15 | 300 | 0.2338 | |
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| 0.1617 | 0.2 | 400 | 0.2239 | |
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| 0.1839 | 0.25 | 500 | 0.2154 | |
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| 0.1845 | 0.3 | 600 | 0.2169 | |
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| 0.2536 | 0.35 | 700 | 0.2185 | |
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| 0.1649 | 0.4 | 800 | 0.2153 | |
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| 0.2767 | 0.45 | 900 | 0.2056 | |
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| 0.1939 | 0.5 | 1000 | 0.2120 | |
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| 0.1093 | 0.55 | 1100 | 0.1975 | |
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| 0.1852 | 0.6 | 1200 | 0.1912 | |
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| 0.1077 | 0.65 | 1300 | 0.1930 | |
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| 0.1129 | 0.7 | 1400 | 0.1959 | |
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| 0.1219 | 0.75 | 1500 | 0.1958 | |
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| 0.3024 | 0.8 | 1600 | 0.1882 | |
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| 0.2656 | 0.85 | 1700 | 0.1872 | |
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| 0.1666 | 0.9 | 1800 | 0.1849 | |
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| 0.1553 | 0.95 | 1900 | 0.1827 | |
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| 0.1477 | 1.0 | 2000 | 0.1825 | |
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### Framework versions |
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- PEFT 0.10.1.dev0 |
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- Transformers 4.40.0.dev0 |
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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 |
