short_first_noditransitive_seed-42_1e-3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2449
- Accuracy: 0.3986
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 |
|---|---|---|---|---|
| 6.0521 | 0.9998 | 1495 | 4.4484 | 0.2905 |
| 4.4103 | 1.9997 | 2990 | 3.9680 | 0.3287 |
| 3.8034 | 2.9995 | 4485 | 3.7026 | 0.3507 |
| 3.6275 | 4.0 | 5981 | 3.5398 | 0.3662 |
| 3.3932 | 4.9998 | 7476 | 3.4404 | 0.3763 |
| 3.3197 | 5.9997 | 8971 | 3.3792 | 0.3821 |
| 3.2044 | 6.9995 | 10466 | 3.3386 | 0.3864 |
| 3.17 | 8.0 | 11962 | 3.3130 | 0.3892 |
| 3.1012 | 8.9998 | 13457 | 3.2952 | 0.3913 |
| 3.0817 | 9.9997 | 14952 | 3.2819 | 0.3932 |
| 3.036 | 10.9995 | 16447 | 3.2719 | 0.3944 |
| 3.0237 | 12.0 | 17943 | 3.2660 | 0.3952 |
| 2.9928 | 12.9998 | 19438 | 3.2623 | 0.3958 |
| 2.9845 | 13.9997 | 20933 | 3.2538 | 0.3966 |
| 2.9613 | 14.9995 | 22428 | 3.2557 | 0.3968 |
| 2.958 | 16.0 | 23924 | 3.2525 | 0.3973 |
| 2.9417 | 16.9998 | 25419 | 3.2493 | 0.3980 |
| 2.938 | 17.9997 | 26914 | 3.2484 | 0.3983 |
| 2.9287 | 18.9995 | 28409 | 3.2452 | 0.3985 |
| 2.9233 | 19.9967 | 29900 | 3.2449 | 0.3986 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.0
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