bigbird_mental2019_1
This model is a fine-tuned version of augmdc/bigbird_race_1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1074
- Accuracy: 0.4983
Model description
More information needed
Intended uses & limitations
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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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3804 | 1.0 | 929 | 1.2248 | 0.4474 |
| 1.1988 | 2.0 | 1858 | 1.1074 | 0.4983 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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