EN_10000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3413
- Accuracy: 0.2633
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 | 941 | 5.0574 | 0.1951 |
| 1.2633 | 2.0 | 1882 | 4.9610 | 0.1967 |
| 1.1481 | 3.0 | 2823 | 4.9389 | 0.2020 |
| 1.1476 | 4.0 | 3764 | 4.8819 | 0.2051 |
| 1.138 | 5.0 | 4705 | 4.8189 | 0.2125 |
| 1.1252 | 6.0 | 5646 | 4.7404 | 0.2179 |
| 1.1038 | 7.0 | 6587 | 4.6072 | 0.2332 |
| 1.0678 | 8.0 | 7528 | 4.4705 | 0.2478 |
| 1.0307 | 9.0 | 8469 | 4.3810 | 0.2576 |
| 1.0059 | 10.0 | 9410 | 4.3413 | 0.2633 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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