ShaderLLM-CodeGemma-7b-it
This model is a fine-tuned version of unsloth/codegemma-7b-it on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 3.3759
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: 0.0005
- train_batch_size: 8
- 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 |
|---|---|---|---|
| 3.375 | 0.53 | 1000 | 3.3759 |
| 3.4688 | 1.06 | 2000 | 3.3759 |
| 3.7031 | 1.59 | 3000 | 3.3759 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for seanmemery/ShaderLLM-CodeGemma-7b-it
Base model
unsloth/codegemma-7b-it