therapist-behavior-classification
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0910
- Accuracy: 0.7968
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 221 | 0.6711 | 0.7720 |
| No log | 2.0 | 442 | 0.6412 | 0.8194 |
| 0.3541 | 3.0 | 663 | 0.7487 | 0.7856 |
| 0.3541 | 4.0 | 884 | 0.8332 | 0.7968 |
| 0.1707 | 5.0 | 1105 | 0.9524 | 0.8059 |
| 0.1707 | 6.0 | 1326 | 1.0313 | 0.8036 |
| 0.0839 | 7.0 | 1547 | 1.0615 | 0.7923 |
| 0.0839 | 8.0 | 1768 | 1.0899 | 0.7968 |
| 0.0839 | 9.0 | 1989 | 1.0779 | 0.8059 |
| 0.0465 | 10.0 | 2210 | 1.0910 | 0.7968 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cpu
- Datasets 2.10.1
- Tokenizers 0.13.2