AR_5000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2367
- Accuracy: 0.2736
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 |
|---|---|---|---|---|
| 1.4164 | 1.0 | 1016 | 5.4871 | 0.1412 |
| 1.259 | 2.0 | 2032 | 5.2153 | 0.1550 |
| 1.2097 | 3.0 | 3048 | 5.0556 | 0.1682 |
| 1.1584 | 4.0 | 4064 | 4.8088 | 0.1964 |
| 1.0942 | 5.0 | 5080 | 4.5993 | 0.2221 |
| 1.0487 | 6.0 | 6096 | 4.4708 | 0.2409 |
| 1.0156 | 7.0 | 7112 | 4.3843 | 0.2520 |
| 0.9895 | 8.0 | 8128 | 4.3157 | 0.2627 |
| 0.9678 | 9.0 | 9144 | 4.2638 | 0.2698 |
| 0.9507 | 10.0 | 10160 | 4.2367 | 0.2736 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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