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bamibert-content-classifier-v2
phucleDio/bamibert-content-classifier-v2
bamibert-content-classifier-v2 is a text classification model from phucleDio. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- other
- Model type
- roberta
- Access
- Public
- Created
- Aug 30, 2026
- Updated
- Aug 30, 2026
- SHA
- 098d3043
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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. -->
bamibert-content-classifier-v2
This model is a fine-tuned version of Qualcomm-AI-Research/BamiBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3526
- Accuracy: 0.9992
- F1 Macro: 0.9992
- F1 Weighted: 0.9992
- Precision Macro: 0.9990
- Recall Macro: 0.9993
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: 1.2e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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
- lr_scheduler_warmup_steps: 289
- num_epochs: 4
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted | Precision Macro | Recall Macro |
|---|---|---|---|---|---|---|---|---|
| 0.3633 | 1.0 | 483 | 0.3567 | 0.9972 | 0.9970 | 0.9972 | 0.9968 | 0.9972 |
| 0.3536 | 2.0 | 966 | 0.3515 | 0.9997 | 0.9997 | 0.9997 | 0.9998 | 0.9997 |
| 0.3510 | 3.0 | 1449 | 0.3519 | 0.9992 | 0.9992 | 0.9992 | 0.9990 | 0.9993 |
| 0.3512 | 4.0 | 1932 | 0.3526 | 0.9992 | 0.9992 | 0.9992 | 0.9990 | 0.9993 |
Framework versions
- Transformers 5.15.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- other
- Created
- Aug 30, 2026
- Updated
- Aug 30, 2026