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PRE-roberta-large-finetuned-augmentation
sercetexam9/PRE-roberta-large-finetuned-augmentation
PRE-roberta-large-finetuned-augmentation is a text classification model from sercetexam9. 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 24, 2025
- Updated
- Jan 24, 2025
- SHA
- a628c5e1
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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. -->
PRE-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: 0.2368
- F1: 0.7841
- Roc Auc: 0.8710
- Accuracy: 0.8024
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: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.1935 | 1.0 | 389 | 0.1932 | 0.5928 | 0.7606 | 0.7066 |
| 0.1742 | 2.0 | 778 | 0.1522 | 0.7378 | 0.8415 | 0.7716 |
| 0.1147 | 3.0 | 1167 | 0.1603 | 0.7585 | 0.8603 | 0.7825 |
| 0.1124 | 4.0 | 1556 | 0.1651 | 0.7631 | 0.8543 | 0.7967 |
| 0.0667 | 5.0 | 1945 | 0.1719 | 0.7714 | 0.8563 | 0.8031 |
| 0.0518 | 6.0 | 2334 | 0.1893 | 0.7699 | 0.8641 | 0.7999 |
| 0.0277 | 7.0 | 2723 | 0.2195 | 0.7540 | 0.8461 | 0.7992 |
| 0.0252 | 8.0 | 3112 | 0.2282 | 0.7765 | 0.8740 | 0.7934 |
| 0.0149 | 9.0 | 3501 | 0.2368 | 0.7841 | 0.8710 | 0.8024 |
| 0.0151 | 10.0 | 3890 | 0.2482 | 0.7767 | 0.8680 | 0.8005 |
| 0.0065 | 11.0 | 4279 | 0.2601 | 0.7801 | 0.8841 | 0.8050 |
| 0.0106 | 12.0 | 4668 | 0.2583 | 0.7718 | 0.8640 | 0.8057 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jan 24, 2025
- Updated
- Jan 24, 2025