NL_20000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.0958
- Accuracy: 0.2983
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 | 886 | 5.4221 | 0.1829 |
| 1.3556 | 2.0 | 1772 | 4.9269 | 0.2204 |
| 1.177 | 3.0 | 2658 | 4.6846 | 0.2383 |
| 1.0942 | 4.0 | 3544 | 4.5383 | 0.2530 |
| 1.0491 | 5.0 | 4430 | 4.4200 | 0.2625 |
| 1.0142 | 6.0 | 5316 | 4.3359 | 0.2719 |
| 0.9847 | 7.0 | 6202 | 4.2368 | 0.2839 |
| 0.9601 | 8.0 | 7088 | 4.1696 | 0.2898 |
| 0.9601 | 9.0 | 7974 | 4.1200 | 0.2956 |
| 0.9374 | 10.0 | 8860 | 4.0958 | 0.2983 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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