FR_5000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1981
- Accuracy: 0.3858
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 |
|---|---|---|---|---|
| 1.1808 | 1.0 | 1132 | 4.3484 | 0.2245 |
| 0.9761 | 2.0 | 2264 | 3.9409 | 0.2771 |
| 0.9067 | 3.0 | 3396 | 3.7296 | 0.3072 |
| 0.8612 | 4.0 | 4528 | 3.5686 | 0.3292 |
| 0.8249 | 5.0 | 5660 | 3.4588 | 0.3459 |
| 0.7961 | 6.0 | 6792 | 3.3755 | 0.3591 |
| 0.7736 | 7.0 | 7924 | 3.3061 | 0.3692 |
| 0.7365 | 8.0 | 9056 | 3.2526 | 0.3776 |
| 0.7209 | 9.0 | 10188 | 3.2175 | 0.3829 |
| 0.7088 | 10.0 | 11320 | 3.1981 | 0.3858 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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