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distilbert-base-uncased-distilled-clinc
HrayrM/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from HrayrM. 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
- Jun 10, 2022
- Updated
- Jun 10, 2022
- SHA
- cd550169
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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: 0.3209
- Accuracy: 0.9429
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.0228 | 1.0 | 318 | 2.2545 | 0.7548 |
| 1.7605 | 2.0 | 636 | 1.2040 | 0.8513 |
| 0.959 | 3.0 | 954 | 0.6910 | 0.9123 |
| 0.5707 | 4.0 | 1272 | 0.4821 | 0.9294 |
| 0.3877 | 5.0 | 1590 | 0.3890 | 0.9394 |
| 0.3025 | 6.0 | 1908 | 0.3476 | 0.9410 |
| 0.258 | 7.0 | 2226 | 0.3264 | 0.9432 |
| 0.2384 | 8.0 | 2544 | 0.3209 | 0.9429 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0
- Datasets 2.2.2
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 10, 2022
- Updated
- Jun 10, 2022