DE_42180_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3944
- Accuracy: 0.2822
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: 0.0006
- train_batch_size: 32
- eval_batch_size: 32
- seed: 41
- optimizer: Use adamw_torch 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: 1000
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 872 | 5.6647 | 0.1788 |
| 1.4046 | 2.0 | 1744 | 5.1683 | 0.2129 |
| 1.2091 | 3.0 | 2616 | 4.9529 | 0.2289 |
| 1.1255 | 4.0 | 3488 | 4.8098 | 0.2390 |
| 1.0815 | 5.0 | 4360 | 4.7006 | 0.2516 |
| 1.0464 | 6.0 | 5232 | 4.6056 | 0.2593 |
| 1.0152 | 7.0 | 6104 | 4.5306 | 0.2684 |
| 1.0152 | 8.0 | 6976 | 4.4713 | 0.2733 |
| 0.9871 | 9.0 | 7848 | 4.4170 | 0.2794 |
| 0.9652 | 10.0 | 8720 | 4.3944 | 0.2822 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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