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N_bert_agnews_padding10model
Realgon/N_bert_agnews_padding10model
N_bert_agnews_padding10model 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 27, 2023
- Updated
- Dec 27, 2023
- SHA
- 1b12327f
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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_padding10model
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: 0.5739
- Accuracy: 0.9457
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 |
|---|---|---|---|---|
| 0.176 | 1.0 | 7500 | 0.1846 | 0.9449 |
| 0.1315 | 2.0 | 15000 | 0.1942 | 0.9455 |
| 0.1116 | 3.0 | 22500 | 0.2441 | 0.9434 |
| 0.0804 | 4.0 | 30000 | 0.3103 | 0.9421 |
| 0.0548 | 5.0 | 37500 | 0.2975 | 0.9429 |
| 0.0417 | 6.0 | 45000 | 0.3861 | 0.9413 |
| 0.0299 | 7.0 | 52500 | 0.4010 | 0.9388 |
| 0.0325 | 8.0 | 60000 | 0.4365 | 0.9428 |
| 0.0232 | 9.0 | 67500 | 0.4431 | 0.9429 |
| 0.0173 | 10.0 | 75000 | 0.4699 | 0.9386 |
| 0.0139 | 11.0 | 82500 | 0.4937 | 0.9412 |
| 0.0121 | 12.0 | 90000 | 0.4899 | 0.9439 |
| 0.0047 | 13.0 | 97500 | 0.5263 | 0.9449 |
| 0.0106 | 14.0 | 105000 | 0.5317 | 0.9436 |
| 0.0028 | 15.0 | 112500 | 0.5426 | 0.9426 |
| 0.0052 | 16.0 | 120000 | 0.5332 | 0.9472 |
| 0.0025 | 17.0 | 127500 | 0.5458 | 0.9464 |
| 0.0023 | 18.0 | 135000 | 0.5433 | 0.9442 |
| 0.0003 | 19.0 | 142500 | 0.5707 | 0.9461 |
| 0.0009 | 20.0 | 150000 | 0.5739 | 0.9457 |
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 27, 2023
- Updated
- Dec 27, 2023