EN_5000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7565
- Accuracy: 0.3152
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 |
|---|---|---|---|---|
| 1.2252 | 1.0 | 1003 | 4.8330 | 0.1873 |
| 1.104 | 2.0 | 2006 | 4.6916 | 0.1979 |
| 1.0865 | 3.0 | 3009 | 4.6022 | 0.2084 |
| 1.0446 | 4.0 | 4012 | 4.3331 | 0.2439 |
| 0.9806 | 5.0 | 5015 | 4.1156 | 0.2660 |
| 0.9375 | 6.0 | 6018 | 3.9863 | 0.2842 |
| 0.9074 | 7.0 | 7021 | 3.9007 | 0.2942 |
| 0.8839 | 8.0 | 8024 | 3.8308 | 0.3047 |
| 0.867 | 9.0 | 9027 | 3.7816 | 0.3116 |
| 0.8541 | 10.0 | 10030 | 3.7565 | 0.3152 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1