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bert_uncased_L-2_H-256_A-4_qqp
gokulsrinivasagan/bert_uncased_L-2_H-256_A-4_qqp
bert_uncased_L-2_H-256_A-4_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
- ed013597
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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-256_A-4_qqp
This model is a fine-tuned version of google/bert_uncased_L-2_H-256_A-4 on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.3042
- Accuracy: 0.8701
- F1: 0.8277
- Combined Score: 0.8489
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 |
|---|---|---|---|---|---|---|
| 0.4268 | 1.0 | 1422 | 0.3553 | 0.8352 | 0.7840 | 0.8096 |
| 0.3528 | 2.0 | 2844 | 0.3246 | 0.8531 | 0.8069 | 0.8300 |
| 0.3156 | 3.0 | 4266 | 0.3112 | 0.8611 | 0.8092 | 0.8351 |
| 0.2884 | 4.0 | 5688 | 0.3069 | 0.8655 | 0.8149 | 0.8402 |
| 0.2662 | 5.0 | 7110 | 0.3080 | 0.8672 | 0.8274 | 0.8473 |
| 0.2467 | 6.0 | 8532 | 0.3042 | 0.8701 | 0.8277 | 0.8489 |
| 0.2303 | 7.0 | 9954 | 0.3089 | 0.8699 | 0.8281 | 0.8490 |
| 0.2152 | 8.0 | 11376 | 0.3130 | 0.8730 | 0.8301 | 0.8515 |
| 0.2026 | 9.0 | 12798 | 0.3187 | 0.8737 | 0.8309 | 0.8523 |
| 0.19 | 10.0 | 14220 | 0.3232 | 0.8766 | 0.8333 | 0.8549 |
| 0.1788 | 11.0 | 15642 | 0.3374 | 0.8754 | 0.8348 | 0.8551 |
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