2024-11-18_10-58-28
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5595
- Accuracy: 0.7301
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: 5e-05
- train_batch_size: 3072
- eval_batch_size: 3072
- seed: 42
- 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
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6789 | 0.4 | 20 | 0.6699 | 0.7086 |
| 0.6399 | 0.8 | 40 | 0.6259 | 0.7125 |
| 0.5977 | 1.2 | 60 | 0.5863 | 0.7184 |
| 0.5721 | 1.6 | 80 | 0.5655 | 0.7272 |
| 0.5639 | 2.0 | 100 | 0.5595 | 0.7301 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.1.2+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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