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PhoBERT-Final_Mixed-train
ThuyNT03/PhoBERT-Final_Mixed-train
PhoBERT-Final_Mixed-train 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
- Aug 31, 2023
- Updated
- Aug 31, 2023
- SHA
- c7b2f37d
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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. -->
PhoBERT-Final_Mixed-train
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: 0.7743
- Accuracy: 0.74
- F1: 0.7384
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.0436 | 1.0 | 44 | 0.9281 | 0.59 | 0.5245 |
| 0.7885 | 2.0 | 88 | 0.7627 | 0.65 | 0.5836 |
| 0.6335 | 3.0 | 132 | 0.7060 | 0.7 | 0.6803 |
| 0.5129 | 4.0 | 176 | 0.7583 | 0.69 | 0.6779 |
| 0.4076 | 5.0 | 220 | 0.7353 | 0.72 | 0.7158 |
| 0.3184 | 6.0 | 264 | 0.7080 | 0.73 | 0.7257 |
| 0.2919 | 7.0 | 308 | 0.7543 | 0.73 | 0.7272 |
| 0.2296 | 8.0 | 352 | 0.7743 | 0.74 | 0.7384 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Aug 31, 2023
- Updated
- Aug 31, 2023