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CS505-L2T_AP2_filter3_CSI-PhoBERT
ThuyNT03/CS505-L2T_AP2_filter3_CSI-PhoBERT
CS505-L2T_AP2_filter3_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 24, 2024
- Updated
- Mar 24, 2024
- SHA
- ebeef1b6
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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_AP2_filter3_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: 0.0061
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: 32
- eval_batch_size: 16
- seed: 41
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.99 | 325 | 0.1175 |
| 0.2249 | 3.99 | 650 | 0.0769 |
| 0.2249 | 5.98 | 975 | 0.0258 |
| 0.0724 | 7.98 | 1300 | 0.0118 |
| 0.0302 | 9.97 | 1625 | 0.0079 |
| 0.0302 | 11.96 | 1950 | 0.0053 |
| 0.0154 | 13.96 | 2275 | 0.0061 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024