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N_bert_agnews_padding80model
Realgon/N_bert_agnews_padding80model
N_bert_agnews_padding80model is a text classification model from Realgon. 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 28, 2023
- Updated
- Dec 28, 2023
- SHA
- edd62cb4
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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. -->
N_bert_agnews_padding80model
This model is a fine-tuned version of bert-base-uncased on the ag_news dataset. It achieves the following results on the evaluation set:
- Loss: 0.5733
- Accuracy: 0.9466
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1814 | 1.0 | 7500 | 0.1946 | 0.9393 |
| 0.1378 | 2.0 | 15000 | 0.1999 | 0.9443 |
| 0.1185 | 3.0 | 22500 | 0.2327 | 0.9470 |
| 0.0766 | 4.0 | 30000 | 0.2848 | 0.9446 |
| 0.057 | 5.0 | 37500 | 0.3384 | 0.9409 |
| 0.0439 | 6.0 | 45000 | 0.3604 | 0.9425 |
| 0.0384 | 7.0 | 52500 | 0.3707 | 0.9436 |
| 0.0312 | 8.0 | 60000 | 0.3830 | 0.9432 |
| 0.0156 | 9.0 | 67500 | 0.4272 | 0.9443 |
| 0.0156 | 10.0 | 75000 | 0.4233 | 0.9464 |
| 0.0092 | 11.0 | 82500 | 0.4810 | 0.9457 |
| 0.0102 | 12.0 | 90000 | 0.5085 | 0.9447 |
| 0.0065 | 13.0 | 97500 | 0.4786 | 0.9455 |
| 0.009 | 14.0 | 105000 | 0.5062 | 0.9451 |
| 0.0049 | 15.0 | 112500 | 0.5219 | 0.9443 |
| 0.0043 | 16.0 | 120000 | 0.5577 | 0.9447 |
| 0.0032 | 17.0 | 127500 | 0.5405 | 0.9459 |
| 0.001 | 18.0 | 135000 | 0.5904 | 0.9457 |
| 0.0003 | 19.0 | 142500 | 0.5733 | 0.9454 |
| 0.0004 | 20.0 | 150000 | 0.5733 | 0.9466 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 28, 2023
- Updated
- Dec 28, 2023