distilbert-base-uncased-finetuned-clinc
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.0207
- Accuracy: 0.0632
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.7449 | 1.0 | 21 | 5.0219 | 0.0387 |
| 3.9904 | 2.0 | 42 | 5.0208 | 0.0568 |
| 3.3569 | 3.0 | 63 | 5.0187 | 0.0616 |
| 2.9108 | 4.0 | 84 | 5.0195 | 0.0632 |
| 2.6289 | 5.0 | 105 | 5.0207 | 0.0632 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for msy127/distilbert-base-uncased-finetuned-clinc
Base model
distilbert/distilbert-base-uncased