est-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4744
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.8063 | 1.0 | 1799 | 4.3256 |
| 4.1542 | 2.0 | 3598 | 3.9894 |
| 3.9209 | 3.0 | 5397 | 3.8195 |
| 3.782 | 4.0 | 7196 | 3.7129 |
| 3.683 | 5.0 | 8995 | 3.6365 |
| 3.6071 | 6.0 | 10794 | 3.5800 |
| 3.5484 | 7.0 | 12593 | 3.5344 |
| 3.502 | 8.0 | 14392 | 3.5037 |
| 3.4678 | 9.0 | 16191 | 3.4832 |
| 3.4433 | 10.0 | 17990 | 3.4744 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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