bigbird_moderate_severe_depression
This model is a fine-tuned version of google/bigbird-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6286
- Macro F1: 0.8843
- Accuracy: 0.8856
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: 1
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy |
|---|---|---|---|---|---|
| 0.569 | 1.0 | 10786 | 0.5698 | 0.8563 | 0.8555 |
| 0.4866 | 2.0 | 21573 | 0.5080 | 0.8777 | 0.8785 |
| 0.4099 | 3.0 | 32359 | 0.6262 | 0.8796 | 0.8802 |
| 0.3165 | 4.0 | 43144 | 0.6286 | 0.8843 | 0.8856 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.1+cu118
- Datasets 2.9.0
- Tokenizers 0.13.3