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bact_roberta_base_essentiality
sms112/bact_roberta_base_essentiality
bact_roberta_base_essentiality is a text classification model from sms112. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Feb 15, 2026
- Updated
- Feb 15, 2026
- SHA
- 838b987b
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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. -->
bact_roberta_base_essentiality
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4279
- Accuracy: 0.8092
- Precision: 0.8103
- Recall: 0.8075
- F1: 0.8089
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: 3e-05
- train_batch_size: 60
- eval_batch_size: 60
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 240
- 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: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 123 | 0.5164 | 0.7460 | 0.7663 | 0.7079 | 0.7359 |
| No log | 2.0 | 246 | 0.4807 | 0.7702 | 0.7523 | 0.8055 | 0.7780 |
| No log | 3.0 | 369 | 0.4549 | 0.7895 | 0.7596 | 0.8472 | 0.8010 |
| No log | 4.0 | 492 | 0.4378 | 0.8026 | 0.8022 | 0.8031 | 0.8027 |
| 2.0584 | 5.0 | 615 | 0.4264 | 0.8077 | 0.8049 | 0.8123 | 0.8086 |
| 2.0584 | 6.0 | 738 | 0.4197 | 0.8079 | 0.8270 | 0.7786 | 0.8021 |
| 2.0584 | 7.0 | 861 | 0.4432 | 0.8042 | 0.7674 | 0.8730 | 0.8168 |
| 2.0584 | 8.0 | 984 | 0.4278 | 0.8092 | 0.8105 | 0.8072 | 0.8088 |
| 1.5778 | 9.0 | 1107 | 0.4351 | 0.8073 | 0.7935 | 0.8308 | 0.8117 |
| 1.5778 | 10.0 | 1230 | 0.4345 | 0.8084 | 0.7973 | 0.8270 | 0.8119 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Feb 15, 2026
- Updated
- Feb 15, 2026