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CS505-L2T_AP1_CSI-PhoBERT
ThuyNT03/CS505-L2T_AP1_CSI-PhoBERT
CS505-L2T_AP1_CSI-PhoBERT is a text classification model from ThuyNT03. 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 23, 2024
- Updated
- Mar 23, 2024
- SHA
- 4d0af630
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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. -->
CS505-L2T_AP1_CSI-PhoBERT
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0045
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: 8
- seed: 41
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 333 | 0.2105 |
| 0.2803 | 1.99 | 666 | 0.1425 |
| 0.2803 | 2.99 | 999 | 0.0768 |
| 0.149 | 3.99 | 1332 | 0.0577 |
| 0.0771 | 4.99 | 1665 | 0.0252 |
| 0.0771 | 5.98 | 1998 | 0.0281 |
| 0.0443 | 6.98 | 2331 | 0.0089 |
| 0.0196 | 7.98 | 2664 | 0.0053 |
| 0.0196 | 8.97 | 2997 | 0.0072 |
| 0.0124 | 9.97 | 3330 | 0.0045 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Mar 23, 2024
- Updated
- Mar 23, 2024