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--- |
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license: llama2 |
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base_model: codellama/CodeLlama-7b-hf |
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pipeline_tag: text-generation |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: yaml-generator-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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# yaml-generator-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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2591 |
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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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| 0.2925 | 20.0 | 20 | 1.2292 | |
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| 0.2156 | 40.0 | 40 | 0.9743 | |
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| 0.07 | 60.0 | 60 | 1.4266 | |
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| 0.007 | 80.0 | 80 | 2.0256 | |
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| 0.0041 | 100.0 | 100 | 1.9838 | |
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| 0.0015 | 120.0 | 120 | 2.0320 | |
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| 0.0012 | 140.0 | 140 | 2.0818 | |
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| 0.0012 | 160.0 | 160 | 2.1403 | |
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| 0.0012 | 180.0 | 180 | 2.1771 | |
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| 0.0012 | 200.0 | 200 | 2.1751 | |
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| 0.0012 | 220.0 | 220 | 2.1825 | |
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| 0.0012 | 240.0 | 240 | 2.2240 | |
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| 0.0012 | 260.0 | 260 | 2.2226 | |
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| 0.0012 | 280.0 | 280 | 2.2172 | |
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| 0.0012 | 300.0 | 300 | 2.2235 | |
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| 0.0012 | 320.0 | 320 | 2.2202 | |
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| 0.0012 | 340.0 | 340 | 2.2471 | |
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| 0.0012 | 360.0 | 360 | 2.2475 | |
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| 0.0012 | 380.0 | 380 | 2.2709 | |
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| 0.0012 | 400.0 | 400 | 2.2591 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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