roberta-large-schizophrenia-v3
This model is a fine-tuned version of roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5296
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 248 | 1.5515 |
| No log | 2.0 | 496 | 1.5410 |
| 1.6456 | 3.0 | 744 | 1.5340 |
| 1.6456 | 4.0 | 992 | 1.5326 |
| 1.5589 | 5.0 | 1240 | 1.5248 |
| 1.5589 | 6.0 | 1488 | 1.5308 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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