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mahabert_output
Yuvrajg2107/mahabert_output
mahabert_output is a text classification model from Yuvrajg2107. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Jan 15, 2026
- Updated
- Jan 15, 2026
- SHA
- a74b577e
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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. -->
mahabert_output
This model is a fine-tuned version of l3cube-pune/marathi-bert-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6570
- Accuracy: 0.815
- F1: 0.7933
- Precision: 0.8452
- Recall: 0.7474
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: 32
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 25 | 0.6905 | 0.625 | 0.6914 | 0.5676 | 0.8842 |
| No log | 2.0 | 50 | 0.6701 | 0.795 | 0.7684 | 0.8293 | 0.7158 |
| No log | 3.0 | 75 | 0.6570 | 0.815 | 0.7933 | 0.8452 | 0.7474 |
Framework versions
- Transformers 4.53.3
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Created
- Jan 15, 2026
- Updated
- Jan 15, 2026