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hBERTv1_new_pretrain_qqp
gokuls/hBERTv1_new_pretrain_qqp
hBERTv1_new_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 31, 2023
- Updated
- Jun 6, 2023
- SHA
- 4f70cd10
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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_new_pretrain_qqp
This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.4260
- Accuracy: 0.8042
- F1: 0.7096
- Combined Score: 0.7569
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: 128
- eval_batch_size: 128
- 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 |
|---|---|---|---|---|---|---|
| 0.5025 | 1.0 | 2843 | 0.4596 | 0.7833 | 0.6804 | 0.7318 |
| 0.4098 | 2.0 | 5686 | 0.4260 | 0.8042 | 0.7096 | 0.7569 |
| 0.3558 | 3.0 | 8529 | 0.4301 | 0.8095 | 0.7216 | 0.7656 |
| 0.3086 | 4.0 | 11372 | 0.4599 | 0.8174 | 0.7536 | 0.7855 |
| 0.2718 | 5.0 | 14215 | 0.4817 | 0.8203 | 0.7447 | 0.7825 |
| 0.2425 | 6.0 | 17058 | 0.4866 | 0.8220 | 0.7569 | 0.7895 |
| 0.2161 | 7.0 | 19901 | 0.4497 | 0.8251 | 0.7608 | 0.7929 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Languages
- en
- Created
- May 31, 2023
- Updated
- Jun 6, 2023