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wangchan-sentiment-thai-text-model
phoner45/wangchan-sentiment-thai-text-model
wangchan-sentiment-thai-text-model is a text classification model from phoner45. 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
- camembert
- Access
- Public
- Created
- Oct 10, 2024
- Updated
- Oct 21, 2024
- SHA
- 93472c8c
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. -->
wangchan-sentiment-thai-text-model
This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5849
- Accuracy: 0.7535
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: 1e-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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6445 | 1.0 | 3822 | 0.6295 | 0.7309 |
| 0.5865 | 2.0 | 7644 | 0.5855 | 0.7430 |
| 0.5285 | 3.0 | 11466 | 0.5754 | 0.7455 |
| 0.5127 | 4.0 | 15288 | 0.5816 | 0.7492 |
| 0.4861 | 5.0 | 19110 | 0.5849 | 0.7535 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- Languages
- th
- Created
- Oct 10, 2024
- Updated
- Oct 21, 2024