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abte-restaurants-sentiment-distilbert
Khoivudang1209/abte-restaurants-sentiment-distilbert
abte-restaurants-sentiment-distilbert is a text classification model from Khoivudang1209. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Mar 8, 2025
- Updated
- Mar 8, 2025
- SHA
- 7f062ccf
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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. -->
abte-restaurants-sentiment-distilbert
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5682
- Accuracy: 0.8150
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3746 | 1.0 | 29 | 0.5459 | 0.8034 |
| 0.307 | 2.0 | 58 | 0.5540 | 0.7945 |
| 0.2832 | 3.0 | 87 | 0.5529 | 0.8088 |
| 0.2542 | 4.0 | 116 | 0.5765 | 0.8105 |
| 0.2355 | 5.0 | 145 | 0.5682 | 0.8150 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 8, 2025
- Updated
- Mar 8, 2025