noditrans_cf_seed-21_1e-3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5127
- Accuracy: 0.3628
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: 0.001
- train_batch_size: 32
- eval_batch_size: 64
- seed: 21
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.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: 32000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 6.0804 | 0.9999 | 1507 | 4.5211 | 0.2799 |
| 4.1312 | 1.9998 | 3014 | 4.0918 | 0.3113 |
| 3.9336 | 2.9998 | 4521 | 3.8782 | 0.3272 |
| 3.7 | 3.9997 | 6028 | 3.7471 | 0.3391 |
| 3.6094 | 4.9996 | 7535 | 3.6646 | 0.3459 |
| 3.5019 | 5.9995 | 9042 | 3.6233 | 0.3497 |
| 3.4403 | 6.9994 | 10549 | 3.5813 | 0.3543 |
| 3.3905 | 8.0 | 12057 | 3.5711 | 0.3552 |
| 3.3435 | 8.9999 | 13564 | 3.5508 | 0.3569 |
| 3.3235 | 9.9998 | 15071 | 3.5320 | 0.3595 |
| 3.2827 | 10.9998 | 16578 | 3.5402 | 0.3593 |
| 3.2784 | 11.9997 | 18085 | 3.5183 | 0.3613 |
| 3.2418 | 12.9996 | 19592 | 3.5320 | 0.3600 |
| 3.2468 | 13.9995 | 21099 | 3.5169 | 0.3614 |
| 3.2131 | 14.9994 | 22606 | 3.5156 | 0.3622 |
| 3.2253 | 16.0 | 24114 | 3.5136 | 0.3623 |
| 3.1932 | 16.9999 | 25621 | 3.5065 | 0.3627 |
| 3.2109 | 17.9998 | 27128 | 3.5170 | 0.3615 |
| 3.1806 | 18.9998 | 28635 | 3.5112 | 0.3627 |
| 3.2002 | 19.9983 | 30140 | 3.5127 | 0.3628 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.0
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