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CS221-roberta-large-finetuned-augmentation
Kuongan/CS221-roberta-large-finetuned-augmentation
CS221-roberta-large-finetuned-augmentation is a text classification model from Kuongan. 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
- Jan 22, 2025
- Updated
- Jan 24, 2025
- SHA
- cb313fbd
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Base models
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. -->
CS221-roberta-large-finetuned-augmentation
This model is a fine-tuned version of FacebookAI/roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5080
- F1: 0.7795
- Roc Auc: 0.8424
- Accuracy: 0.5542
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.449 | 1.0 | 164 | 0.3954 | 0.6181 | 0.7303 | 0.4458 |
| 0.3327 | 2.0 | 328 | 0.3360 | 0.7265 | 0.8028 | 0.4840 |
| 0.2568 | 3.0 | 492 | 0.3333 | 0.7526 | 0.8105 | 0.5298 |
| 0.1654 | 4.0 | 656 | 0.3338 | 0.7645 | 0.8346 | 0.5374 |
| 0.1093 | 5.0 | 820 | 0.3625 | 0.7463 | 0.8064 | 0.5313 |
| 0.0885 | 6.0 | 984 | 0.4068 | 0.7665 | 0.8349 | 0.5282 |
| 0.0558 | 7.0 | 1148 | 0.4288 | 0.7671 | 0.8294 | 0.5267 |
| 0.0402 | 8.0 | 1312 | 0.4721 | 0.7704 | 0.8390 | 0.5481 |
| 0.0338 | 9.0 | 1476 | 0.5211 | 0.7617 | 0.8300 | 0.5252 |
| 0.013 | 10.0 | 1640 | 0.5080 | 0.7795 | 0.8424 | 0.5542 |
| 0.0066 | 11.0 | 1804 | 0.5416 | 0.7775 | 0.8338 | 0.5374 |
| 0.0072 | 12.0 | 1968 | 0.5689 | 0.7607 | 0.8274 | 0.5221 |
| 0.0036 | 13.0 | 2132 | 0.5661 | 0.7708 | 0.8291 | 0.5420 |
| 0.003 | 14.0 | 2296 | 0.5753 | 0.7719 | 0.8353 | 0.5374 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jan 22, 2025
- Updated
- Jan 24, 2025