bnc_w_42
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.1700
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: 42
- 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 |
|---|---|---|---|
| 6.8997 | 1.0 | 392 | 5.9301 |
| 5.6835 | 2.0 | 784 | 5.5808 |
| 5.4552 | 3.0 | 1176 | 5.4482 |
| 5.3278 | 4.0 | 1568 | 5.3603 |
| 5.2293 | 5.0 | 1960 | 5.2986 |
| 5.1439 | 6.0 | 2352 | 5.2501 |
| 5.0666 | 7.0 | 2744 | 5.2096 |
| 4.9956 | 8.0 | 3136 | 5.1829 |
| 4.9292 | 9.0 | 3528 | 5.1619 |
| 4.8662 | 10.0 | 3920 | 5.1489 |
| 4.8064 | 11.0 | 4312 | 5.1414 |
| 4.7497 | 12.0 | 4704 | 5.1373 |
| 4.6955 | 13.0 | 5096 | 5.1374 |
| 4.6444 | 14.0 | 5488 | 5.1394 |
| 4.5994 | 15.0 | 5880 | 5.1458 |
| 4.5596 | 16.0 | 6272 | 5.1506 |
| 4.5248 | 17.0 | 6664 | 5.1572 |
| 4.4952 | 18.0 | 7056 | 5.1631 |
| 4.4706 | 19.0 | 7448 | 5.1668 |
| 4.452 | 20.0 | 7840 | 5.1700 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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