DE_20000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2294
- Accuracy: 0.2857
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 | 913 | 5.5561 | 0.1731 |
| 1.3899 | 2.0 | 1826 | 5.0780 | 0.2045 |
| 1.2094 | 3.0 | 2739 | 4.8542 | 0.2239 |
| 1.1228 | 4.0 | 3652 | 4.7063 | 0.2345 |
| 1.0785 | 5.0 | 4565 | 4.5756 | 0.2468 |
| 1.0404 | 6.0 | 5478 | 4.4678 | 0.2570 |
| 1.0075 | 7.0 | 6391 | 4.3799 | 0.2667 |
| 0.9795 | 8.0 | 7304 | 4.3070 | 0.2754 |
| 0.9548 | 9.0 | 8217 | 4.2560 | 0.2826 |
| 0.9379 | 10.0 | 9130 | 4.2294 | 0.2857 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1