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bert_uncased_L-2_H-512_A-8_qqp
gokulsrinivasagan/bert_uncased_L-2_H-512_A-8_qqp
bert_uncased_L-2_H-512_A-8_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
- bert
- Access
- Public
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024
- SHA
- 76df4338
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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. -->
bert_uncased_L-2_H-512_A-8_qqp
This model is a fine-tuned version of google/bert_uncased_L-2_H-512_A-8 on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.2936
- Accuracy: 0.8775
- F1: 0.8350
- Combined Score: 0.8562
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 |
|---|---|---|---|---|---|---|
| 0.3895 | 1.0 | 1422 | 0.3335 | 0.8481 | 0.7883 | 0.8182 |
| 0.3058 | 2.0 | 2844 | 0.3006 | 0.8682 | 0.8232 | 0.8457 |
| 0.26 | 3.0 | 4266 | 0.2964 | 0.8745 | 0.8298 | 0.8522 |
| 0.2254 | 4.0 | 5688 | 0.2936 | 0.8775 | 0.8350 | 0.8562 |
| 0.195 | 5.0 | 7110 | 0.3151 | 0.8803 | 0.8427 | 0.8615 |
| 0.1696 | 6.0 | 8532 | 0.3190 | 0.8815 | 0.8431 | 0.8623 |
| 0.1492 | 7.0 | 9954 | 0.3478 | 0.8781 | 0.8415 | 0.8598 |
| 0.1322 | 8.0 | 11376 | 0.3563 | 0.8823 | 0.8441 | 0.8632 |
| 0.1175 | 9.0 | 12798 | 0.3841 | 0.8835 | 0.8470 | 0.8652 |
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
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024