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hindi-sentiment-muril
Aayushi137/hindi-sentiment-muril
hindi-sentiment-muril is a text classification model from Aayushi137. 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
- Jun 20, 2026
- Updated
- Jun 20, 2026
- SHA
- 917c6142
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Base models
Datasets
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. -->
hindi-sentiment-muril
This model is a fine-tuned version of google/muril-base-cased on the indic_sentiment dataset. It achieves the following results on the evaluation set:
- Loss: 0.5094
- Accuracy: 0.9103
- F1: 0.9103
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: 16
- 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 |
|---|---|---|---|---|---|
| No log | 1.0 | 63 | 0.6552 | 0.7885 | 0.7815 |
| No log | 2.0 | 126 | 0.5413 | 0.9167 | 0.9167 |
| No log | 3.0 | 189 | 0.5094 | 0.9103 | 0.9103 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.11.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 20, 2026
- Updated
- Jun 20, 2026