TR_50000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.1179
- Accuracy: 0.2798
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: 0.0006
- train_batch_size: 32
- eval_batch_size: 32
- seed: 41
- optimizer: Use 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: 1000
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 743 | 6.3572 | 0.2167 |
1.5621 | 2.0 | 1486 | 5.9797 | 0.2248 |
1.3642 | 3.0 | 2229 | 5.7299 | 0.2380 |
1.3642 | 4.0 | 2972 | 5.5408 | 0.2489 |
1.2776 | 5.0 | 3715 | 5.4251 | 0.2571 |
1.2174 | 6.0 | 4458 | 5.3285 | 0.2624 |
1.1746 | 7.0 | 5201 | 5.2541 | 0.2699 |
1.1746 | 8.0 | 5944 | 5.1963 | 0.2732 |
1.1395 | 9.0 | 6687 | 5.1387 | 0.2776 |
1.1077 | 10.0 | 7430 | 5.1179 | 0.2798 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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