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distilbert-base-uncased-distilled-clinc
MohamedAhmedAE/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from MohamedAhmedAE. 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
- Dec 27, 2023
- Updated
- Dec 28, 2023
- SHA
- 0104415e
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Base models
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-distilled-clinc
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: 0.1913
- Accuracy: 0.9471
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.946 | 1.0 | 318 | 1.4037 | 0.7490 |
| 1.0932 | 2.0 | 636 | 0.7419 | 0.8819 |
| 0.5964 | 3.0 | 954 | 0.4275 | 0.9242 |
| 0.3548 | 4.0 | 1272 | 0.2955 | 0.9329 |
| 0.2451 | 5.0 | 1590 | 0.2382 | 0.9410 |
| 0.1937 | 6.0 | 1908 | 0.2131 | 0.9458 |
| 0.1681 | 7.0 | 2226 | 0.2021 | 0.9468 |
| 0.1543 | 8.0 | 2544 | 0.1975 | 0.9465 |
| 0.1458 | 9.0 | 2862 | 0.1930 | 0.9468 |
| 0.1419 | 10.0 | 3180 | 0.1913 | 0.9471 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 27, 2023
- Updated
- Dec 28, 2023