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--- |
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license: llama2 |
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base_model: codellama/CodeLlama-34b-Instruct-hf |
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tags: |
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- trl |
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- sft |
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- unsloth |
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- generated_from_trainer |
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datasets: |
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- generator |
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model-index: |
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- name: CodeLlama-34b-Instruct-Shader-hf |
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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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# CodeLlama-34b-Instruct-Shader-hf |
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This model is a fine-tuned version of [codellama/CodeLlama-34b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-34b-Instruct-hf) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7792 |
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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: 0.0025 |
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- train_batch_size: 4 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: polynomial |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.3476 | 0.25 | 1000 | 1.3561 | |
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| 1.3274 | 0.49 | 2000 | 1.1683 | |
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| 1.1964 | 0.74 | 3000 | 1.0129 | |
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| 0.8117 | 0.98 | 4000 | 0.9106 | |
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| 0.5179 | 1.23 | 5000 | 0.8560 | |
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| 0.7726 | 1.48 | 6000 | 0.8096 | |
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| 0.7396 | 1.72 | 7000 | 0.7855 | |
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| 0.6125 | 1.97 | 8000 | 0.7792 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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