RU_20000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4117
- Accuracy: 0.2997
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 | 899 | 5.7734 | 0.1812 |
| 1.4557 | 2.0 | 1798 | 5.3399 | 0.2061 |
| 1.2571 | 3.0 | 2697 | 5.0337 | 0.2313 |
| 1.1563 | 4.0 | 3596 | 4.8579 | 0.2469 |
| 1.0993 | 5.0 | 4495 | 4.7394 | 0.2615 |
| 1.0592 | 6.0 | 5394 | 4.6324 | 0.2725 |
| 1.0251 | 7.0 | 6293 | 4.5509 | 0.2811 |
| 0.9956 | 8.0 | 7192 | 4.4892 | 0.2892 |
| 0.9694 | 9.0 | 8091 | 4.4348 | 0.2965 |
| 0.9694 | 10.0 | 8990 | 4.4117 | 0.2997 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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