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bert_base_train_book_ent_15p_ra_qqp
gokulsrinivasagan/bert_base_train_book_ent_15p_ra_qqp
bert_base_train_book_ent_15p_ra_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
- Apr 9, 2025
- Updated
- Apr 9, 2025
- SHA
- f0fe892f
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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_base_train_book_ent_15p_ra_qqp
This model is a fine-tuned version of gokulsrinivasagan/bert_base_train_book_ent_15p_ra on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.3161
- Accuracy: 0.8671
- F1: 0.8296
- Combined Score: 0.8484
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 |
|---|---|---|---|---|---|---|
| 0.4059 | 1.0 | 1422 | 0.3463 | 0.8412 | 0.7734 | 0.8073 |
| 0.2916 | 2.0 | 2844 | 0.3169 | 0.8624 | 0.8207 | 0.8415 |
| 0.2234 | 3.0 | 4266 | 0.3161 | 0.8671 | 0.8296 | 0.8484 |
| 0.1694 | 4.0 | 5688 | 0.3223 | 0.8757 | 0.8286 | 0.8521 |
| 0.1262 | 5.0 | 7110 | 0.3767 | 0.8758 | 0.8297 | 0.8527 |
| 0.0978 | 6.0 | 8532 | 0.4102 | 0.8764 | 0.8294 | 0.8529 |
| 0.078 | 7.0 | 9954 | 0.4382 | 0.8752 | 0.8362 | 0.8557 |
| 0.0636 | 8.0 | 11376 | 0.4419 | 0.8725 | 0.8351 | 0.8538 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Apr 9, 2025
- Updated
- Apr 9, 2025