results_ft
This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8178
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: 3e-05
- train_batch_size: 256
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.6015 | 0.2410 | 200 | 4.9526 |
| 4.8813 | 0.4819 | 400 | 4.6280 |
| 4.6572 | 0.7229 | 600 | 4.4362 |
| 4.5263 | 0.9639 | 800 | 4.3084 |
| 4.4158 | 1.2048 | 1000 | 4.2763 |
| 4.3402 | 1.4458 | 1200 | 4.1772 |
| 4.2778 | 1.6867 | 1400 | 4.1290 |
| 4.201 | 1.9277 | 1600 | 4.0205 |
| 4.1524 | 2.1687 | 1800 | 3.8778 |
| 4.1037 | 2.4096 | 2000 | 3.9216 |
| 4.0602 | 2.6506 | 2200 | 3.8826 |
| 4.0368 | 2.8916 | 2400 | 3.8800 |
| 3.9979 | 3.1325 | 2600 | 3.8768 |
| 3.9838 | 3.3735 | 2800 | 3.8561 |
| 3.9508 | 3.6145 | 3000 | 3.7986 |
| 3.9362 | 3.8554 | 3200 | 3.8220 |
| 3.92 | 4.0964 | 3400 | 3.7756 |
| 3.918 | 4.3373 | 3600 | 3.8481 |
| 3.8876 | 4.5783 | 3800 | 3.7696 |
| 3.8924 | 4.8193 | 4000 | 3.7700 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
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