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N_roberta_agnews_padding90model
Realgon/N_roberta_agnews_padding90model
N_roberta_agnews_padding90model 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
- e6ca6dcd
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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_padding90model
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: 0.5490
- Accuracy: 0.9482
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 |
|---|---|---|---|---|
| 0.1972 | 1.0 | 7500 | 0.2055 | 0.9412 |
| 0.1723 | 2.0 | 15000 | 0.1951 | 0.9463 |
| 0.1529 | 3.0 | 22500 | 0.2150 | 0.9461 |
| 0.1256 | 4.0 | 30000 | 0.2472 | 0.9457 |
| 0.1092 | 5.0 | 37500 | 0.2550 | 0.9459 |
| 0.0729 | 6.0 | 45000 | 0.2972 | 0.9479 |
| 0.0801 | 7.0 | 52500 | 0.3123 | 0.9453 |
| 0.058 | 8.0 | 60000 | 0.3705 | 0.9463 |
| 0.0463 | 9.0 | 67500 | 0.3698 | 0.9438 |
| 0.0387 | 10.0 | 75000 | 0.3702 | 0.9495 |
| 0.0299 | 11.0 | 82500 | 0.4177 | 0.9474 |
| 0.0235 | 12.0 | 90000 | 0.4637 | 0.9432 |
| 0.0172 | 13.0 | 97500 | 0.4843 | 0.9464 |
| 0.0144 | 14.0 | 105000 | 0.4647 | 0.9483 |
| 0.0147 | 15.0 | 112500 | 0.4965 | 0.9468 |
| 0.0124 | 16.0 | 120000 | 0.5153 | 0.9470 |
| 0.006 | 17.0 | 127500 | 0.5196 | 0.9483 |
| 0.0047 | 18.0 | 135000 | 0.5287 | 0.9480 |
| 0.0056 | 19.0 | 142500 | 0.5443 | 0.9480 |
| 0.0012 | 20.0 | 150000 | 0.5490 | 0.9482 |
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