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distilbert-base-uncased_qqp
gokulsrinivasagan/distilbert-base-uncased_qqp
distilbert-base-uncased_qqp is a text classification model from gokulsrinivasagan. 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 4, 2024
- Updated
- Dec 4, 2024
- SHA
- 384c60fe
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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_qqp
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.2497
- Accuracy: 0.8972
- F1: 0.8658
- Combined Score: 0.8815
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: 5e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 10
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
|---|---|---|---|---|---|---|
| 0.3242 | 1.0 | 1422 | 0.2672 | 0.8833 | 0.8400 | 0.8616 |
| 0.2172 | 2.0 | 2844 | 0.2497 | 0.8972 | 0.8658 | 0.8815 |
| 0.1525 | 3.0 | 4266 | 0.2637 | 0.8982 | 0.8669 | 0.8826 |
| 0.1072 | 4.0 | 5688 | 0.2838 | 0.8999 | 0.8631 | 0.8815 |
| 0.0788 | 5.0 | 7110 | 0.3267 | 0.9021 | 0.8666 | 0.8844 |
| 0.0599 | 6.0 | 8532 | 0.3451 | 0.9018 | 0.8682 | 0.8850 |
| 0.048 | 7.0 | 9954 | 0.3699 | 0.9003 | 0.8650 | 0.8827 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024