noditrans_cf_seed-42_1e-3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5045
- Accuracy: 0.3638
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: 42
- 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 |
|---|---|---|---|---|
| 6.1088 | 0.9999 | 1507 | 4.5189 | 0.2802 |
| 4.1256 | 1.9998 | 3014 | 4.0763 | 0.3126 |
| 3.9258 | 2.9998 | 4521 | 3.8638 | 0.3280 |
| 3.6941 | 3.9997 | 6028 | 3.7448 | 0.3395 |
| 3.6063 | 4.9996 | 7535 | 3.6613 | 0.3466 |
| 3.5012 | 5.9995 | 9042 | 3.6228 | 0.3499 |
| 3.4402 | 6.9994 | 10549 | 3.5851 | 0.3539 |
| 3.39 | 8.0 | 12057 | 3.5568 | 0.3571 |
| 3.3438 | 8.9999 | 13564 | 3.5526 | 0.3578 |
| 3.3235 | 9.9998 | 15071 | 3.5412 | 0.3591 |
| 3.2829 | 10.9998 | 16578 | 3.5373 | 0.3591 |
| 3.2792 | 11.9997 | 18085 | 3.5322 | 0.3612 |
| 3.241 | 12.9996 | 19592 | 3.5302 | 0.3605 |
| 3.2481 | 13.9995 | 21099 | 3.5215 | 0.3620 |
| 3.2136 | 14.9994 | 22606 | 3.5184 | 0.3621 |
| 3.2254 | 16.0 | 24114 | 3.5266 | 0.3620 |
| 3.1947 | 16.9999 | 25621 | 3.5187 | 0.3618 |
| 3.2102 | 17.9998 | 27128 | 3.5164 | 0.3630 |
| 3.182 | 18.9998 | 28635 | 3.5136 | 0.3633 |
| 3.2009 | 19.9983 | 30140 | 3.5045 | 0.3638 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.0
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