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distilbert-base-uncased-finetuned-clinc_v1
Christine567/distilbert-base-uncased-finetuned-clinc_v1
distilbert-base-uncased-finetuned-clinc_v1 is a machine learning model from Christine567. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Oct 8, 2024
- Updated
- Oct 20, 2024
- SHA
- ebebf4a8
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
distilbert-base-uncased-finetuned-clinc_v1
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: 0.2641
- Accuracy: 0.9481
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.779 | 1.0 | 318 | 2.8041 | 0.7542 |
| 2.1105 | 2.0 | 636 | 1.3468 | 0.8671 |
| 0.9905 | 3.0 | 954 | 0.6619 | 0.9206 |
| 0.4816 | 4.0 | 1272 | 0.4165 | 0.9368 |
| 0.2706 | 5.0 | 1590 | 0.3274 | 0.9468 |
| 0.1826 | 6.0 | 1908 | 0.2994 | 0.9458 |
| 0.1399 | 7.0 | 2226 | 0.2811 | 0.9487 |
| 0.1167 | 8.0 | 2544 | 0.2769 | 0.9477 |
| 0.1033 | 9.0 | 2862 | 0.2744 | 0.9474 |
| 0.0947 | 10.0 | 3180 | 0.2713 | 0.9484 |
| 0.0874 | 11.0 | 3498 | 0.2654 | 0.9513 |
| 0.0835 | 12.0 | 3816 | 0.2656 | 0.9487 |
| 0.08 | 13.0 | 4134 | 0.2668 | 0.9484 |
| 0.0781 | 14.0 | 4452 | 0.2650 | 0.9487 |
| 0.077 | 15.0 | 4770 | 0.2641 | 0.9481 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.5.0+cu124
- Datasets 2.0.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 8, 2024
- Updated
- Oct 20, 2024