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bert-base-uncased-git-issues-300-classifier
ClementPoirier/bert-base-uncased-git-issues-300-classifier
bert-base-uncased-git-issues-300-classifier is a text classification model from ClementPoirier. 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
- bert
- Access
- Public
- Created
- Jul 11, 2024
- Updated
- Jul 11, 2024
- SHA
- fa620baa
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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. -->
results
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1328
- Micro f1: 0.8436
- Macro f1: 0.6883
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 |
|---|---|---|---|---|---|
| 0.3843 | 1.0 | 53 | 0.3015 | 0.2520 | 0.0889 |
| 0.2851 | 2.0 | 106 | 0.2373 | 0.5660 | 0.2041 |
| 0.2167 | 3.0 | 159 | 0.2121 | 0.4969 | 0.3009 |
| 0.1565 | 4.0 | 212 | 0.1534 | 0.7273 | 0.4905 |
| 0.1062 | 5.0 | 265 | 0.1417 | 0.7812 | 0.6161 |
| 0.0817 | 6.0 | 318 | 0.1360 | 0.7761 | 0.6147 |
| 0.0607 | 7.0 | 371 | 0.1204 | 0.8190 | 0.6776 |
| 0.0462 | 8.0 | 424 | 0.1240 | 0.8263 | 0.6727 |
| 0.0382 | 9.0 | 477 | 0.1207 | 0.8246 | 0.6682 |
| 0.032 | 10.0 | 530 | 0.1292 | 0.8093 | 0.6602 |
| 0.0266 | 11.0 | 583 | 0.1214 | 0.8491 | 0.6921 |
| 0.0229 | 12.0 | 636 | 0.1233 | 0.8451 | 0.6856 |
| 0.0207 | 13.0 | 689 | 0.1204 | 0.8396 | 0.6773 |
| 0.0181 | 14.0 | 742 | 0.1203 | 0.8436 | 0.6817 |
| 0.0161 | 15.0 | 795 | 0.1197 | 0.8372 | 0.6776 |
| 0.0148 | 16.0 | 848 | 0.1278 | 0.8357 | 0.6771 |
| 0.0135 | 17.0 | 901 | 0.1319 | 0.8230 | 0.6520 |
| 0.0129 | 18.0 | 954 | 0.1345 | 0.8491 | 0.6905 |
| 0.0114 | 19.0 | 1007 | 0.1309 | 0.8436 | 0.6794 |
| 0.0105 | 20.0 | 1060 | 0.1328 | 0.8436 | 0.6883 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.2.0.dev20231111
- Datasets 2.14.6
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 11, 2024
- Updated
- Jul 11, 2024