metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: RU_50000_41
results: []
RU_50000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.7618
- Accuracy: 0.2849
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 | 831 | 6.0677 | 0.1860 |
| 1.5059 | 2.0 | 1662 | 5.6611 | 0.2089 |
| 1.2996 | 3.0 | 2493 | 5.3285 | 0.2353 |
| 1.1964 | 4.0 | 3324 | 5.1727 | 0.2465 |
| 1.1375 | 5.0 | 4155 | 5.0557 | 0.2560 |
| 1.1375 | 6.0 | 4986 | 4.9592 | 0.2643 |
| 1.0959 | 7.0 | 5817 | 4.8870 | 0.2707 |
| 1.0571 | 8.0 | 6648 | 4.8295 | 0.2770 |
| 1.0269 | 9.0 | 7479 | 4.7829 | 0.2810 |
| 1.0016 | 10.0 | 8310 | 4.7618 | 0.2849 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1