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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: sql-code-llama |
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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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# sql-code-llama |
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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: 0.4621 |
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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: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 100 |
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- training_steps: 400 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.1563 | 0.04 | 20 | 1.9767 | |
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| 1.1222 | 0.07 | 40 | 0.8267 | |
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| 0.814 | 0.11 | 60 | 0.6637 | |
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| 0.5956 | 0.14 | 80 | 0.5908 | |
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| 0.405 | 0.18 | 100 | 0.5643 | |
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| 0.5643 | 0.22 | 120 | 0.5204 | |
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| 0.4326 | 0.25 | 140 | 0.5107 | |
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| 0.6401 | 0.29 | 160 | 0.5211 | |
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| 0.4789 | 0.33 | 180 | 0.4908 | |
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| 0.3577 | 0.36 | 200 | 0.5069 | |
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| 0.5289 | 0.4 | 220 | 0.4851 | |
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| 0.3971 | 0.43 | 240 | 0.4811 | |
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| 0.5972 | 0.47 | 260 | 0.4807 | |
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| 0.4683 | 0.51 | 280 | 0.4712 | |
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| 0.3442 | 0.54 | 300 | 0.4790 | |
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| 0.5148 | 0.58 | 320 | 0.4692 | |
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| 0.3917 | 0.62 | 340 | 0.4661 | |
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| 0.5769 | 0.65 | 360 | 0.4661 | |
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| 0.4603 | 0.69 | 380 | 0.4629 | |
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| 0.3461 | 0.72 | 400 | 0.4621 | |
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### Framework versions |
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- PEFT 0.10.1.dev0 |
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- Transformers 4.36.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
