RU_10000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.0679
- Accuracy: 0.3200
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 | 974 | 5.4145 | 0.1775 |
| 1.3962 | 2.0 | 1948 | 5.0401 | 0.2047 |
| 1.207 | 3.0 | 2922 | 4.7237 | 0.2382 |
| 1.1141 | 4.0 | 3896 | 4.5586 | 0.2541 |
| 1.0564 | 5.0 | 4870 | 4.4123 | 0.2724 |
| 1.0142 | 6.0 | 5844 | 4.3087 | 0.2854 |
| 0.9805 | 7.0 | 6818 | 4.2148 | 0.2983 |
| 0.9502 | 8.0 | 7792 | 4.1474 | 0.3084 |
| 0.9241 | 9.0 | 8766 | 4.0945 | 0.3167 |
| 0.902 | 10.0 | 9740 | 4.0679 | 0.3200 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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