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phobert-large-finetuned-vietnamese_students_feedback
ncduy/phobert-large-finetuned-vietnamese_students_feedback
phobert-large-finetuned-vietnamese_students_feedback is a text classification model from ncduy. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 6, 2022
- SHA
- b99e157e
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Datasets
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. -->
phobert-large-finetuned-vietnamese_students_feedback
This model is a fine-tuned version of vinai/phobert-large on the vietnamese_students_feedback dataset. It achieves the following results on the evaluation set:
- Loss: 0.2285
- Accuracy: 0.9463
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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 477 | 0.2088 | 0.9375 |
| 0.3231 | 2.0 | 954 | 0.2463 | 0.9444 |
| 0.1805 | 3.0 | 1431 | 0.2285 | 0.9463 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.17.0
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Mar 2, 2022
- Updated
- Jan 6, 2022