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naamapadam-bengali-stage1-full
user10383/naamapadam-bengali-stage1-full
naamapadam-bengali-stage1-full is a machine learning model from user10383. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Sep 18, 2025
- Updated
- Sep 19, 2025
- SHA
- 55d7ea65
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. -->
naamapadam-bengali-stage1-full
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the naamapadam dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.8213
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- 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
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0 | 0.4990 | 240 | nan | 0.0 | 0.0 | 0.0 | 0.8213 |
| 0.0 | 0.9979 | 480 | nan | 0.0 | 0.0 | 0.0 | 0.8213 |
Framework versions
- PEFT 0.17.1
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 2.14.7
- Tokenizers 0.22.0
- Library
- peft
- License
- apache-2.0
- Created
- Sep 18, 2025
- Updated
- Sep 19, 2025