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tiny-bert-sst2-distilled
jysh1023/tiny-bert-sst2-distilled
tiny-bert-sst2-distilled is a text classification model from jysh1023. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Nov 14, 2023
- Updated
- Nov 17, 2023
- SHA
- 963c56cb
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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. -->
tiny-bert-sst2-distilled
This model was trained from scratch on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.6749
- Accuracy: 0.8200
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: 6e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 33
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1125 | 1.0 | 3 | 0.6731 | 0.8177 |
| 0.0984 | 2.0 | 6 | 0.6756 | 0.8188 |
| 0.1273 | 3.0 | 9 | 0.6754 | 0.8177 |
| 0.0758 | 4.0 | 12 | 0.6751 | 0.8188 |
| 0.1188 | 5.0 | 15 | 0.6754 | 0.8188 |
| 0.0936 | 6.0 | 18 | 0.6749 | 0.8200 |
| 0.0781 | 7.0 | 21 | 0.6748 | 0.8200 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Nov 14, 2023
- Updated
- Nov 17, 2023