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muril-tamil-pos-tagging
saiyiram/muril-tamil-pos-tagging
muril-tamil-pos-tagging is a token classification model from saiyiram. Use it when you need labels on individual words, such as names. 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
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 6, 2026
- Updated
- Sep 6, 2026
- SHA
- 032b2dd6
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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-tamil-pos-tagging
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: 5.1227
- Accuracy: 0.2945
- F1 Macro: 0.0350
- F1 Weighted: 0.1340
- Precision Macro: 0.0227
- Recall Macro: 0.0769
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: 64
- 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
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted | Precision Macro | Recall Macro |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 13 | 5.2508 | 0.1520 | 0.0226 | 0.0485 | 0.0499 | 0.0784 |
| 5.2472 | 2.0 | 26 | 5.2012 | 0.2605 | 0.0467 | 0.1540 | 0.0337 | 0.0772 |
| 5.2472 | 3.0 | 39 | 5.1474 | 0.2945 | 0.0350 | 0.1340 | 0.0227 | 0.0769 |
| 5.1624 | 4.0 | 52 | 5.1293 | 0.2945 | 0.0350 | 0.1340 | 0.0227 | 0.0769 |
| 5.1624 | 5.0 | 65 | 5.1227 | 0.2945 | 0.0350 | 0.1340 | 0.0227 | 0.0769 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 6, 2026
- Updated
- Sep 6, 2026