lyeonii_bert-small
This model is a fine-tuned version of lyeonii/bert-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6300
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6074 | 1.0 | 626 | 0.6347 |
| 0.563 | 2.0 | 1252 | 0.6238 |
| 0.6393 | 3.0 | 1878 | 0.6300 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3