results
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0060
- Accuracy: 0.9541
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: 2e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 224
- 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: 8
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 113 | 0.0060 | 0.9531 |
No log | 2.0 | 226 | 0.0060 | 0.9527 |
No log | 3.0 | 339 | 0.0061 | 0.9504 |
No log | 4.0 | 452 | 0.0060 | 0.9541 |
0.0007 | 5.0 | 565 | 0.0062 | 0.9541 |
0.0007 | 6.0 | 678 | 0.0060 | 0.9547 |
0.0007 | 7.0 | 791 | 0.0061 | 0.9541 |
0.0007 | 8.0 | 904 | 0.0061 | 0.9537 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
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