random_first_datives_seed-42_1e-3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3644
- Accuracy: 0.3778
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 |
|---|---|---|---|---|
| 6.2642 | 1.0 | 1731 | 4.5519 | 0.2722 |
| 4.3675 | 2.0 | 3462 | 4.0802 | 0.3075 |
| 3.9677 | 3.0 | 5193 | 3.8310 | 0.3286 |
| 3.832 | 4.0 | 6924 | 3.6886 | 0.3424 |
| 3.6544 | 5.0 | 8655 | 3.6002 | 0.3507 |
| 3.5548 | 6.0 | 10386 | 3.5555 | 0.3547 |
| 3.4849 | 7.0 | 12117 | 3.5217 | 0.3581 |
| 3.4337 | 8.0 | 13848 | 3.4956 | 0.3609 |
| 3.3926 | 9.0 | 15579 | 3.4885 | 0.3620 |
| 3.37 | 10.0 | 17310 | 3.4666 | 0.3640 |
| 3.3518 | 11.0 | 19041 | 3.4662 | 0.3643 |
| 3.3042 | 12.0 | 20772 | 3.4562 | 0.3655 |
| 3.2997 | 13.0 | 22503 | 3.4451 | 0.3669 |
| 3.2979 | 14.0 | 24234 | 3.4461 | 0.3671 |
| 3.2648 | 15.0 | 25965 | 3.4455 | 0.3669 |
| 3.2516 | 16.0 | 27696 | 3.4412 | 0.3674 |
| 3.264 | 17.0 | 29427 | 3.4405 | 0.3675 |
| 3.271 | 18.0 | 31158 | 3.4360 | 0.3676 |
| 3.2386 | 19.0 | 32889 | 3.4024 | 0.3719 |
| 3.1078 | 20.0 | 34620 | 3.3644 | 0.3778 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.0
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