EN_30000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2839
- Accuracy: 0.2821
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 | 891 | 5.1377 | 0.2004 |
| 1.2877 | 2.0 | 1782 | 4.8901 | 0.2236 |
| 1.1355 | 3.0 | 2673 | 4.7772 | 0.2356 |
| 1.0964 | 4.0 | 3564 | 4.7023 | 0.2399 |
| 1.0755 | 5.0 | 4455 | 4.6125 | 0.2460 |
| 1.0502 | 6.0 | 5346 | 4.5341 | 0.2551 |
| 1.0248 | 7.0 | 6237 | 4.4484 | 0.2643 |
| 1.0035 | 8.0 | 7128 | 4.3691 | 0.2732 |
| 0.9814 | 9.0 | 8019 | 4.3135 | 0.2788 |
| 0.9814 | 10.0 | 8910 | 4.2839 | 0.2821 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1