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distilbert-base-uncased__sst2__train-32-6
SetFit/distilbert-base-uncased__sst2__train-32-6
distilbert-base-uncased__sst2__train-32-6 is a text classification model from SetFit. 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
- Mar 2, 2022
- Updated
- Feb 10, 2022
- SHA
- e8cb84b5
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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__sst2__train-32-6
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5072
- Accuracy: 0.7650
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7057 | 1.0 | 13 | 0.6704 | 0.6923 |
| 0.6489 | 2.0 | 26 | 0.6228 | 0.8462 |
| 0.5475 | 3.0 | 39 | 0.5079 | 0.8462 |
| 0.4014 | 4.0 | 52 | 0.4203 | 0.8462 |
| 0.1923 | 5.0 | 65 | 0.3872 | 0.8462 |
| 0.1014 | 6.0 | 78 | 0.4909 | 0.8462 |
| 0.0349 | 7.0 | 91 | 0.5460 | 0.8462 |
| 0.0173 | 8.0 | 104 | 0.4867 | 0.8462 |
| 0.0098 | 9.0 | 117 | 0.5274 | 0.8462 |
| 0.0075 | 10.0 | 130 | 0.6086 | 0.8462 |
| 0.0057 | 11.0 | 143 | 0.6604 | 0.8462 |
| 0.0041 | 12.0 | 156 | 0.6904 | 0.8462 |
| 0.0037 | 13.0 | 169 | 0.7164 | 0.8462 |
| 0.0034 | 14.0 | 182 | 0.7368 | 0.8462 |
| 0.0031 | 15.0 | 195 | 0.7565 | 0.8462 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Feb 10, 2022