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UIT-deberta-v3-large-finetuned
sercetexam9/UIT-deberta-v3-large-finetuned
UIT-deberta-v3-large-finetuned 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
- deberta-v2
- Access
- Public
- Created
- Jan 22, 2025
- Updated
- Jan 23, 2025
- SHA
- 944650ba
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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. -->
UIT-deberta-v3-large-finetuned
This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7092
- F1: 0.7611
- Roc Auc: 0.8161
- Accuracy: 0.5162
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 |
|---|---|---|---|---|---|---|
| 0.5182 | 1.0 | 139 | 0.4623 | 0.4534 | 0.6457 | 0.3087 |
| 0.3803 | 2.0 | 278 | 0.3662 | 0.7072 | 0.7767 | 0.4061 |
| 0.2764 | 3.0 | 417 | 0.3630 | 0.7128 | 0.7816 | 0.4729 |
| 0.1508 | 4.0 | 556 | 0.3983 | 0.7345 | 0.7944 | 0.4585 |
| 0.124 | 5.0 | 695 | 0.4009 | 0.7591 | 0.8210 | 0.5 |
| 0.0748 | 6.0 | 834 | 0.4494 | 0.7575 | 0.8153 | 0.4964 |
| 0.0458 | 7.0 | 973 | 0.5271 | 0.7462 | 0.8013 | 0.5018 |
| 0.0356 | 8.0 | 1112 | 0.5749 | 0.7515 | 0.8060 | 0.5018 |
| 0.0158 | 9.0 | 1251 | 0.6486 | 0.7290 | 0.7894 | 0.4765 |
| 0.013 | 10.0 | 1390 | 0.6190 | 0.7552 | 0.8133 | 0.5054 |
| 0.0052 | 11.0 | 1529 | 0.6594 | 0.7571 | 0.8121 | 0.5162 |
| 0.0024 | 12.0 | 1668 | 0.6776 | 0.7533 | 0.8128 | 0.5018 |
| 0.0016 | 13.0 | 1807 | 0.6816 | 0.7590 | 0.8154 | 0.5108 |
| 0.0014 | 14.0 | 1946 | 0.6997 | 0.7597 | 0.8152 | 0.5144 |
| 0.0017 | 15.0 | 2085 | 0.7081 | 0.7572 | 0.8121 | 0.5162 |
| 0.0013 | 16.0 | 2224 | 0.7061 | 0.7607 | 0.8161 | 0.5126 |
| 0.0056 | 17.0 | 2363 | 0.7092 | 0.7611 | 0.8161 | 0.5162 |
| 0.0013 | 18.0 | 2502 | 0.7142 | 0.7609 | 0.8155 | 0.5162 |
| 0.0013 | 19.0 | 2641 | 0.7157 | 0.7609 | 0.8155 | 0.5162 |
| 0.0012 | 20.0 | 2780 | 0.7158 | 0.7609 | 0.8155 | 0.5162 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Jan 22, 2025
- Updated
- Jan 23, 2025