default_small_seed-42_1e-3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1784
- Accuracy: 0.4011
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 |
|---|---|---|---|---|
| 6.0083 | 0.9999 | 1504 | 4.4027 | 0.2935 |
| 3.9458 | 1.9998 | 3008 | 3.8998 | 0.3328 |
| 3.7061 | 2.9998 | 4512 | 3.6210 | 0.3566 |
| 3.42 | 3.9997 | 6016 | 3.4579 | 0.3718 |
| 3.3145 | 4.9996 | 7520 | 3.3636 | 0.3807 |
| 3.1945 | 5.9995 | 9024 | 3.3015 | 0.3869 |
| 3.1291 | 6.9994 | 10528 | 3.2621 | 0.3907 |
| 3.0787 | 8.0 | 12033 | 3.2364 | 0.3931 |
| 3.0267 | 8.9999 | 13537 | 3.2173 | 0.3952 |
| 3.0071 | 9.9998 | 15041 | 3.2058 | 0.3963 |
| 2.9617 | 10.9998 | 16545 | 3.1959 | 0.3980 |
| 2.9593 | 11.9997 | 18049 | 3.1934 | 0.3984 |
| 2.9165 | 12.9996 | 19553 | 3.1903 | 0.3991 |
| 2.9253 | 13.9995 | 21057 | 3.1875 | 0.3999 |
| 2.8847 | 14.9994 | 22561 | 3.1806 | 0.4003 |
| 2.9012 | 16.0 | 24066 | 3.1807 | 0.4002 |
| 2.8647 | 16.9999 | 25570 | 3.1764 | 0.4009 |
| 2.886 | 17.9998 | 27074 | 3.1780 | 0.4010 |
| 2.8512 | 18.9998 | 28578 | 3.1777 | 0.4015 |
| 2.8765 | 19.9983 | 30080 | 3.1784 | 0.4011 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.0
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