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hBERTv1_no_pretrain_qqp
gokuls/hBERTv1_no_pretrain_qqp
hBERTv1_no_pretrain_qqp is a text classification model from gokuls. 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
- hybridbert
- Access
- Public
- Created
- May 29, 2023
- Updated
- Jun 15, 2023
- SHA
- 2b2062e2
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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. -->
hBERTv1_no_pretrain_qqp
This model is a fine-tuned version of on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.4402
- Accuracy: 0.7954
- F1: 0.7269
- Combined Score: 0.7612
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: 4e-05
- train_batch_size: 96
- eval_batch_size: 96
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
|---|---|---|---|---|---|---|
| 0.5334 | 1.0 | 3791 | 0.4826 | 0.7676 | 0.6650 | 0.7163 |
| 0.4491 | 2.0 | 7582 | 0.4493 | 0.7909 | 0.6926 | 0.7417 |
| 0.3866 | 3.0 | 11373 | 0.4402 | 0.7954 | 0.7269 | 0.7612 |
| 0.3657 | 4.0 | 15164 | 0.4990 | 0.7775 | 0.7211 | 0.7493 |
| 0.3708 | 5.0 | 18955 | 0.4744 | 0.8077 | 0.7273 | 0.7675 |
| 0.2948 | 6.0 | 22746 | 0.4693 | 0.8143 | 0.7379 | 0.7761 |
| 0.2546 | 7.0 | 26537 | 0.4507 | 0.8120 | 0.7578 | 0.7849 |
| 0.2225 | 8.0 | 30328 | 0.5245 | 0.8193 | 0.7511 | 0.7852 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Languages
- en
- Created
- May 29, 2023
- Updated
- Jun 15, 2023