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CS221-xlm-roberta-base-ron-noaug-finetuned-ron-tapt
Kuongan/CS221-xlm-roberta-base-ron-noaug-finetuned-ron-tapt
CS221-xlm-roberta-base-ron-noaug-finetuned-ron-tapt 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
- xlm-roberta
- Access
- Public
- Created
- Feb 27, 2025
- Updated
- Feb 27, 2025
- SHA
- f7775112
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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-xlm-roberta-base-ron-noaug-finetuned-ron-tapt
This model is a fine-tuned version of Kuongan/xlm-roberta-base-ron-noaug on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2352
- F1: 0.8074
- Roc Auc: 0.8708
- Accuracy: 0.5795
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|
| 0.2454 | 1.0 | 63 | 0.2342 | 0.7410 | 0.8475 | 0.5875 |
| 0.2342 | 2.0 | 126 | 0.2365 | 0.7461 | 0.8440 | 0.5694 |
| 0.2175 | 3.0 | 189 | 0.2408 | 0.7902 | 0.8576 | 0.5815 |
| 0.2054 | 4.0 | 252 | 0.2281 | 0.7970 | 0.8643 | 0.5835 |
| 0.1768 | 5.0 | 315 | 0.2352 | 0.8074 | 0.8708 | 0.5795 |
| 0.175 | 6.0 | 378 | 0.2417 | 0.7857 | 0.8610 | 0.5694 |
| 0.1543 | 7.0 | 441 | 0.2386 | 0.8028 | 0.8688 | 0.5875 |
| 0.1467 | 8.0 | 504 | 0.2495 | 0.7853 | 0.8497 | 0.5654 |
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
- xlm-roberta
- License
- mit
- Created
- Feb 27, 2025
- Updated
- Feb 27, 2025