DE_50000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4472
- Accuracy: 0.2793
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 | 866 | 5.6953 | 0.1823 |
1.4107 | 2.0 | 1732 | 5.2077 | 0.2107 |
1.2142 | 3.0 | 2598 | 4.9920 | 0.2267 |
1.1325 | 4.0 | 3464 | 4.8603 | 0.2377 |
1.09 | 5.0 | 4330 | 4.7556 | 0.2475 |
1.057 | 6.0 | 5196 | 4.6687 | 0.2562 |
1.0264 | 7.0 | 6062 | 4.5828 | 0.2644 |
1.0264 | 8.0 | 6928 | 4.5236 | 0.2701 |
0.9974 | 9.0 | 7794 | 4.4702 | 0.2766 |
0.9738 | 10.0 | 8660 | 4.4472 | 0.2793 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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