TR_20000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.7185
- Accuracy: 0.2835
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 | 803 | 5.9584 | 0.2029 |
| 1.4993 | 2.0 | 1606 | 5.5911 | 0.2173 |
| 1.3049 | 3.0 | 2409 | 5.3477 | 0.2282 |
| 1.2251 | 4.0 | 3212 | 5.1800 | 0.2406 |
| 1.1711 | 5.0 | 4015 | 5.0367 | 0.2510 |
| 1.1711 | 6.0 | 4818 | 4.9476 | 0.2602 |
| 1.1286 | 7.0 | 5621 | 4.8724 | 0.2668 |
| 1.0952 | 8.0 | 6424 | 4.8010 | 0.2749 |
| 1.065 | 9.0 | 7227 | 4.7453 | 0.2801 |
| 1.0436 | 10.0 | 8030 | 4.7185 | 0.2835 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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