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N_roberta_agnews_padding100model
Realgon/N_roberta_agnews_padding100model
N_roberta_agnews_padding100model 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Dec 26, 2023
- Updated
- Dec 26, 2023
- SHA
- 8cb0ae84
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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_roberta_agnews_padding100model
This model is a fine-tuned version of roberta-base on the ag_news dataset. It achieves the following results on the evaluation set:
- Loss: 0.5447
- Accuracy: 0.95
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 |
|---|---|---|---|---|
| 0.1985 | 1.0 | 7500 | 0.2020 | 0.9422 |
| 0.1646 | 2.0 | 15000 | 0.2020 | 0.9467 |
| 0.1491 | 3.0 | 22500 | 0.2176 | 0.9462 |
| 0.1251 | 4.0 | 30000 | 0.2385 | 0.9486 |
| 0.1071 | 5.0 | 37500 | 0.2422 | 0.9479 |
| 0.0842 | 6.0 | 45000 | 0.2795 | 0.9470 |
| 0.0728 | 7.0 | 52500 | 0.3227 | 0.9429 |
| 0.0558 | 8.0 | 60000 | 0.3396 | 0.9462 |
| 0.0493 | 9.0 | 67500 | 0.3946 | 0.9454 |
| 0.0406 | 10.0 | 75000 | 0.3891 | 0.9471 |
| 0.026 | 11.0 | 82500 | 0.4082 | 0.9492 |
| 0.0211 | 12.0 | 90000 | 0.4271 | 0.9454 |
| 0.0176 | 13.0 | 97500 | 0.4244 | 0.9468 |
| 0.0114 | 14.0 | 105000 | 0.4723 | 0.9467 |
| 0.0116 | 15.0 | 112500 | 0.4950 | 0.9459 |
| 0.0097 | 16.0 | 120000 | 0.4863 | 0.9501 |
| 0.0098 | 17.0 | 127500 | 0.4869 | 0.9496 |
| 0.0046 | 18.0 | 135000 | 0.4984 | 0.9516 |
| 0.0008 | 19.0 | 142500 | 0.5340 | 0.9491 |
| 0.0011 | 20.0 | 150000 | 0.5447 | 0.95 |
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
- roberta
- License
- mit
- Created
- Dec 26, 2023
- Updated
- Dec 26, 2023