git-base-naruto
This model is a fine-tuned version of microsoft/git-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0613
- Wer Score: 4.6462
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| 7.3247 | 3.7037 | 50 | 4.4756 | 6.1692 |
| 2.2782 | 7.4074 | 100 | 0.4117 | 0.4308 |
| 0.1182 | 11.1111 | 150 | 0.0433 | 0.4462 |
| 0.0162 | 14.8148 | 200 | 0.0483 | 0.5231 |
| 0.0105 | 18.5185 | 250 | 0.0527 | 0.5231 |
| 0.0085 | 22.2222 | 300 | 0.0548 | 0.4769 |
| 0.007 | 25.9259 | 350 | 0.0578 | 0.8923 |
| 0.006 | 29.6296 | 400 | 0.0599 | 0.8462 |
| 0.0051 | 33.3333 | 450 | 0.0598 | 6.0 |
| 0.004 | 37.0370 | 500 | 0.0608 | 5.5538 |
| 0.0035 | 40.7407 | 550 | 0.0606 | 7.7077 |
| 0.0028 | 44.4444 | 600 | 0.0611 | 5.4308 |
| 0.0023 | 48.1481 | 650 | 0.0613 | 4.6462 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for cj94/git-base-naruto
Base model
microsoft/git-base
Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "cj94/git-base-naruto"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cj94/git-base-naruto", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'