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muril-focal-g3
Uni-Joseph/muril-focal-g3
muril-focal-g3 is a text classification model from Uni-Joseph. 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
- bert
- Access
- Public
- Created
- Sep 16, 2026
- Updated
- Sep 16, 2026
- SHA
- 61e2f506
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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. -->
muril-focal-g3
This model is a fine-tuned version of google/muril-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0402
- Accuracy: 0.8443
- Macro F1: 0.7389
- Weighted F1: 0.8466
- Negative Recall: 0.5950
- Positive Recall: 0.8974
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_FUSED 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 | Macro F1 | Weighted F1 | Negative Recall | Positive Recall |
|---|---|---|---|---|---|---|---|---|
| 0.0160 | 1.0 | 1506 | 0.0162 | 0.7419 | 0.6773 | 0.7710 | 0.8388 | 0.7213 |
| 0.0151 | 2.0 | 3012 | 0.0158 | 0.7665 | 0.7008 | 0.7918 | 0.8484 | 0.7491 |
| 0.0116 | 3.0 | 4518 | 0.0180 | 0.8261 | 0.7467 | 0.8388 | 0.7582 | 0.8406 |
| 0.0085 | 4.0 | 6024 | 0.0317 | 0.8454 | 0.7469 | 0.8493 | 0.6315 | 0.8909 |
| 0.0075 | 5.0 | 7530 | 0.0402 | 0.8443 | 0.7389 | 0.8466 | 0.5950 | 0.8974 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.23.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 16, 2026
- Updated
- Sep 16, 2026