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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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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: lora-fine-tuning-llama2-SQL-lora-codellama |
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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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# lora-fine-tuning-llama2-SQL-lora-codellama |
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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: 0.5720 |
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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: 0.0002 |
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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: 3 |
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- total_train_batch_size: 12 |
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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_ratio: 0.03 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.7803 | 0.06 | 5 | 2.5059 | |
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| 1.2647 | 0.12 | 10 | 1.1731 | |
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| 0.8026 | 0.18 | 15 | 0.8834 | |
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| 0.6482 | 0.24 | 20 | 0.8281 | |
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| 0.8146 | 0.3 | 25 | 0.7858 | |
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| 0.7458 | 0.36 | 30 | 0.7275 | |
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| 0.5377 | 0.42 | 35 | 0.6520 | |
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| 0.5659 | 0.48 | 40 | 0.6560 | |
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| 0.6104 | 0.54 | 45 | 0.6101 | |
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| 0.6253 | 0.6 | 50 | 0.6024 | |
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| 0.4878 | 0.66 | 55 | 0.5891 | |
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| 0.4777 | 0.72 | 60 | 0.5830 | |
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| 0.634 | 0.78 | 65 | 0.5831 | |
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| 0.5562 | 0.84 | 70 | 0.5771 | |
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| 0.4696 | 0.9 | 75 | 0.5734 | |
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| 0.4193 | 0.96 | 80 | 0.5720 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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