checkpoints
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.2659
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: 0.0003
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 96
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2000
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.4032 | 0.0845 | 500 | 7.3900 |
| 6.6368 | 0.1689 | 1000 | 6.6176 |
| 6.0293 | 0.2534 | 1500 | 6.0336 |
| 5.4871 | 0.3379 | 2000 | 5.4602 |
| 5.1774 | 0.4224 | 2500 | 5.1387 |
| 4.9533 | 0.5068 | 3000 | 4.9452 |
| 4.8279 | 0.5913 | 3500 | 4.8122 |
| 4.7441 | 0.6758 | 4000 | 4.7194 |
| 4.6783 | 0.7603 | 4500 | 4.6470 |
| 4.6144 | 0.8447 | 5000 | 4.5846 |
| 4.5477 | 0.9292 | 5500 | 4.5297 |
| 4.4920 | 1.0137 | 6000 | 4.4871 |
| 4.4523 | 1.0982 | 6500 | 4.4475 |
| 4.3954 | 1.1826 | 7000 | 4.4127 |
| 4.4032 | 1.2671 | 7500 | 4.3827 |
| 4.4052 | 1.3516 | 8000 | 4.3571 |
| 4.3566 | 1.4361 | 8500 | 4.3329 |
| 4.3505 | 1.5205 | 9000 | 4.3124 |
| 4.3208 | 1.6050 | 9500 | 4.2945 |
| 4.3149 | 1.6895 | 10000 | 4.2829 |
| 4.3015 | 1.7739 | 10500 | 4.2739 |
| 4.2932 | 1.8584 | 11000 | 4.2682 |
| 4.2789 | 1.9429 | 11500 | 4.2659 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.8.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
- Downloads last month
- 2
Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "Wilsonwin/checkpoints"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Wilsonwin/checkpoints", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'