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finetune_deberta_small_model
This model is a fine-tuned version of nc33/finetune_deberta_small_model on the super_glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.6788
- Accuracy: 0.8021
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3666 | 1.0 | 590 | 0.5625 | 0.8003 |
| 0.2501 | 2.0 | 1180 | 0.6762 | 0.7976 |
| 0.2343 | 3.0 | 1770 | 0.6788 | 0.8021 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
