| | --- |
| | license: llama2 |
| | base_model: codellama/CodeLlama-13b-Instruct-hf |
| | tags: |
| | - trl |
| | - sft |
| | - unsloth |
| | - generated_from_trainer |
| | - unsloth |
| | datasets: |
| | - generator |
| | model-index: |
| | - name: ShaderLLM-CodeLlama-13b-it |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # ShaderLLM-CodeLlama-13b-it |
| |
|
| | 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. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7616 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 0.0025 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: polynomial |
| | - num_epochs: 2 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.5616 | 0.24 | 1000 | 1.2367 | |
| | | 1.0239 | 0.49 | 2000 | 1.0618 | |
| | | 0.9445 | 0.73 | 3000 | 0.9659 | |
| | | 1.0534 | 0.98 | 4000 | 0.8703 | |
| | | 0.653 | 1.22 | 5000 | 0.8155 | |
| | | 0.6389 | 1.46 | 6000 | 0.7856 | |
| | | 0.6987 | 1.71 | 7000 | 0.7670 | |
| | | 0.6333 | 1.95 | 8000 | 0.7616 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.39.3 |
| | - Pytorch 2.2.2 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
