RU_30000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.5860
- Accuracy: 0.2907
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 | 865 | 5.9242 | 0.1826 |
| 1.4825 | 2.0 | 1730 | 5.4700 | 0.2094 |
| 1.278 | 3.0 | 2595 | 5.1790 | 0.2330 |
| 1.1768 | 4.0 | 3460 | 5.0254 | 0.2463 |
| 1.1207 | 5.0 | 4325 | 4.8923 | 0.2576 |
| 1.083 | 6.0 | 5190 | 4.8086 | 0.2663 |
| 1.0491 | 7.0 | 6055 | 4.7249 | 0.2750 |
| 1.0491 | 8.0 | 6920 | 4.6643 | 0.2814 |
| 1.0193 | 9.0 | 7785 | 4.6059 | 0.2879 |
| 0.9915 | 10.0 | 8650 | 4.5860 | 0.2907 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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