bnc_sh1_51
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.9222
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: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 51
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.1673 | 1.0 | 392 | 6.4983 |
| 6.3087 | 2.0 | 784 | 6.2686 |
| 6.1399 | 3.0 | 1176 | 6.1614 |
| 6.0374 | 4.0 | 1568 | 6.0855 |
| 5.9563 | 5.0 | 1960 | 6.0309 |
| 5.8864 | 6.0 | 2352 | 5.9894 |
| 5.8227 | 7.0 | 2744 | 5.9568 |
| 5.7625 | 8.0 | 3136 | 5.9310 |
| 5.7042 | 9.0 | 3528 | 5.9099 |
| 5.6474 | 10.0 | 3920 | 5.8963 |
| 5.5918 | 11.0 | 4312 | 5.8884 |
| 5.538 | 12.0 | 4704 | 5.8837 |
| 5.486 | 13.0 | 5096 | 5.8846 |
| 5.4363 | 14.0 | 5488 | 5.8874 |
| 5.3902 | 15.0 | 5880 | 5.8926 |
| 5.3476 | 16.0 | 6272 | 5.9003 |
| 5.3098 | 17.0 | 6664 | 5.9072 |
| 5.2783 | 18.0 | 7056 | 5.9154 |
| 5.2534 | 19.0 | 7448 | 5.9197 |
| 5.2349 | 20.0 | 7840 | 5.9222 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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