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distilbert-base-uncased-distilled-clinc
MonsMayli/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from MonsMayli. Use it when you need a label for a piece of text. It is set up for transformers. 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
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Oct 24, 2024
- Updated
- Oct 24, 2024
- SHA
- 4e422e6d
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Base models
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-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: 0.3498
- Accuracy: 0.9510
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: 0.00017859788414926184
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 318 | 0.4685 | 0.9094 |
| 0.8848 | 2.0 | 636 | 0.4043 | 0.9361 |
| 0.8848 | 3.0 | 954 | 0.3802 | 0.9435 |
| 0.2937 | 4.0 | 1272 | 0.3891 | 0.9355 |
| 0.2584 | 5.0 | 1590 | 0.3740 | 0.9458 |
| 0.2584 | 6.0 | 1908 | 0.3828 | 0.9384 |
| 0.2477 | 7.0 | 2226 | 0.3728 | 0.9429 |
| 0.2403 | 8.0 | 2544 | 0.3792 | 0.9413 |
| 0.2403 | 9.0 | 2862 | 0.3679 | 0.9455 |
| 0.2374 | 10.0 | 3180 | 0.3661 | 0.9448 |
| 0.2374 | 11.0 | 3498 | 0.3682 | 0.9471 |
| 0.2348 | 12.0 | 3816 | 0.3652 | 0.9490 |
| 0.232 | 13.0 | 4134 | 0.3550 | 0.9494 |
| 0.232 | 14.0 | 4452 | 0.3546 | 0.95 |
| 0.2292 | 15.0 | 4770 | 0.3512 | 0.9477 |
| 0.2287 | 16.0 | 5088 | 0.3518 | 0.9497 |
| 0.2287 | 17.0 | 5406 | 0.3486 | 0.9510 |
| 0.2256 | 18.0 | 5724 | 0.3516 | 0.9490 |
| 0.2261 | 19.0 | 6042 | 0.3509 | 0.9490 |
| 0.2261 | 20.0 | 6360 | 0.3498 | 0.9510 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 24, 2024
- Updated
- Oct 24, 2024