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--- |
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license: llama2 |
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base_model: codellama/CodeLlama-13b-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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- unsloth |
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datasets: |
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- generator |
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model-index: |
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- name: ShaderLLM-CodeLlama-13b-it |
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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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# ShaderLLM-CodeLlama-13b-it |
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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 the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7616 |
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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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| 1.5616 | 0.24 | 1000 | 1.2367 | |
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| 1.0239 | 0.49 | 2000 | 1.0618 | |
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| 0.9445 | 0.73 | 3000 | 0.9659 | |
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| 1.0534 | 0.98 | 4000 | 0.8703 | |
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| 0.653 | 1.22 | 5000 | 0.8155 | |
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| 0.6389 | 1.46 | 6000 | 0.7856 | |
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| 0.6987 | 1.71 | 7000 | 0.7670 | |
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| 0.6333 | 1.95 | 8000 | 0.7616 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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