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distilbert-base-uncased-distilled-clinc-finalmodel-tuned
lukasgrouleff/distilbert-base-uncased-distilled-clinc-finalmodel-tuned
distilbert-base-uncased-distilled-clinc-finalmodel-tuned is a text classification model from lukasgrouleff. 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 20, 2024
- Updated
- Oct 20, 2024
- SHA
- 3a3e6e98
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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-finalmodel-tuned
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: 0.1821
- Accuracy: 0.9490
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 477 | 0.9872 | 0.7568 |
| 1.5625 | 2.0 | 954 | 0.4304 | 0.8981 |
| 0.6762 | 3.0 | 1431 | 0.2624 | 0.9326 |
| 0.3206 | 4.0 | 1908 | 0.2171 | 0.9419 |
| 0.2139 | 5.0 | 2385 | 0.2028 | 0.9432 |
| 0.1788 | 6.0 | 2862 | 0.1948 | 0.9465 |
| 0.1638 | 7.0 | 3339 | 0.1905 | 0.9465 |
| 0.1541 | 8.0 | 3816 | 0.1865 | 0.9487 |
| 0.1496 | 9.0 | 4293 | 0.1850 | 0.9461 |
| 0.1464 | 10.0 | 4770 | 0.1833 | 0.9494 |
| 0.1439 | 11.0 | 5247 | 0.1822 | 0.9477 |
| 0.1424 | 12.0 | 5724 | 0.1821 | 0.9490 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 20, 2024
- Updated
- Oct 20, 2024