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UIT-roberta-large-finetuned
sercetexam9/UIT-roberta-large-finetuned
UIT-roberta-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
- roberta
- Access
- Public
- Created
- Jan 22, 2025
- Updated
- Jan 23, 2025
- SHA
- e5210c69
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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-roberta-large-finetuned
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: 0.4934
- F1: 0.7654
- Roc Auc: 0.8248
- Accuracy: 0.4964
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 |
|---|---|---|---|---|---|---|
| 0.4959 | 1.0 | 139 | 0.4214 | 0.4807 | 0.6598 | 0.3375 |
| 0.3785 | 2.0 | 278 | 0.3560 | 0.7080 | 0.7697 | 0.4314 |
| 0.2713 | 3.0 | 417 | 0.3301 | 0.7451 | 0.8055 | 0.4910 |
| 0.1539 | 4.0 | 556 | 0.3920 | 0.7364 | 0.7963 | 0.4603 |
| 0.1307 | 5.0 | 695 | 0.4197 | 0.7320 | 0.7892 | 0.4819 |
| 0.0868 | 6.0 | 834 | 0.4604 | 0.7280 | 0.7891 | 0.4819 |
| 0.0449 | 7.0 | 973 | 0.4778 | 0.7450 | 0.8063 | 0.4838 |
| 0.064 | 8.0 | 1112 | 0.4934 | 0.7654 | 0.8248 | 0.4964 |
| 0.0379 | 9.0 | 1251 | 0.5534 | 0.7490 | 0.8148 | 0.4801 |
| 0.0141 | 10.0 | 1390 | 0.5641 | 0.7397 | 0.8048 | 0.4801 |
| 0.0143 | 11.0 | 1529 | 0.5763 | 0.7517 | 0.8166 | 0.4928 |
| 0.0067 | 12.0 | 1668 | 0.5987 | 0.7448 | 0.8035 | 0.5036 |
| 0.0045 | 13.0 | 1807 | 0.5933 | 0.7576 | 0.8155 | 0.5162 |
| 0.004 | 14.0 | 1946 | 0.6058 | 0.7558 | 0.8132 | 0.5054 |
| 0.0025 | 15.0 | 2085 | 0.6091 | 0.7531 | 0.8138 | 0.5018 |
| 0.0024 | 16.0 | 2224 | 0.6189 | 0.7540 | 0.8124 | 0.5054 |
| 0.0025 | 17.0 | 2363 | 0.6259 | 0.7532 | 0.8122 | 0.5054 |
| 0.0027 | 18.0 | 2502 | 0.6255 | 0.7568 | 0.8138 | 0.5108 |
| 0.0022 | 19.0 | 2641 | 0.6267 | 0.7553 | 0.8130 | 0.5072 |
| 0.0022 | 20.0 | 2780 | 0.6263 | 0.7549 | 0.8127 | 0.5072 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jan 22, 2025
- Updated
- Jan 23, 2025