result
This model is a fine-tuned version of mental/mental-bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9675
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4294 | 1.0 | 2321 | 0.4796 |
| 0.2759 | 2.0 | 4642 | 0.4408 |
| 0.2259 | 3.0 | 6963 | 0.5610 |
| 0.1443 | 4.0 | 9284 | 0.8181 |
| 0.0997 | 5.0 | 11605 | 0.9675 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3
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Base model
mental/mental-bert-base-uncased