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overall-rating-bert
rmtariq/overall-rating-bert
overall-rating-bert is a text classification model from rmtariq. 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
- bert
- Access
- Public
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025
- SHA
- e459f907
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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. -->
overall-rating-bert
This model is a fine-tuned version of rmtariq/ft-Malay-bert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9928
- Accuracy: 0.5614
- F1 Macro: 0.1798
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: 32
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 1.0097 | 1.0 | 3565 | 0.9937 | 0.5614 | 0.1798 |
| 0.9945 | 2.0 | 7130 | 0.9958 | 0.5614 | 0.1798 |
| 0.9939 | 3.0 | 10695 | 0.9938 | 0.5614 | 0.1798 |
| 1.002 | 4.0 | 14260 | 0.9944 | 0.5614 | 0.1798 |
| 0.9975 | 5.0 | 17825 | 0.9930 | 0.5614 | 0.1798 |
| 0.9971 | 6.0 | 21390 | 0.9938 | 0.5614 | 0.1798 |
| 0.9905 | 7.0 | 24955 | 0.9932 | 0.5614 | 0.1798 |
| 1.0051 | 8.0 | 28520 | 0.9928 | 0.5614 | 0.1798 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025