distilbert-base-uncased-distilled-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: 0.3650
- Accuracy: 0.9448
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: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 318 | 2.7041 | 0.7403 |
| 3.157 | 2.0 | 636 | 1.3959 | 0.8613 |
| 3.157 | 3.0 | 954 | 0.7574 | 0.9135 |
| 1.2213 | 4.0 | 1272 | 0.5136 | 0.9268 |
| 0.4979 | 5.0 | 1590 | 0.4219 | 0.9394 |
| 0.4979 | 6.0 | 1908 | 0.3916 | 0.9410 |
| 0.3031 | 7.0 | 2226 | 0.3708 | 0.9452 |
| 0.2444 | 8.0 | 2544 | 0.3666 | 0.9452 |
| 0.2444 | 9.0 | 2862 | 0.3650 | 0.9448 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1
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Model tree for hieundx/distilbert-base-uncased-distilled-clinc
Base model
distilbert/distilbert-base-uncased