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kd-distilBERT-clinc
This model is a fine-tuned version of distilbert-base-uncased on the clinc_oos dataset. It achieves the following results on the evaluation set:
- Loss: 0.7849
- Accuracy: 0.9165
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
4.2571 | 1.0 | 318 | 3.2374 | 0.7126 |
2.591 | 2.0 | 636 | 1.8546 | 0.8477 |
1.539 | 3.0 | 954 | 1.1561 | 0.8939 |
1.0142 | 4.0 | 1272 | 0.8673 | 0.91 |
0.806 | 5.0 | 1590 | 0.7849 | 0.9165 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2