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IndicBERTv2-MLM-only-finetuned-imdb
varshith0101/IndicBERTv2-MLM-only-finetuned-imdb
IndicBERTv2-MLM-only-finetuned-imdb is a fill-mask model from varshith0101. Use it when you need the model to fill a missing word. 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
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Dec 9, 2024
- Updated
- Dec 9, 2024
- SHA
- 40b7f3c0
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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. -->
IndicBERTv2-MLM-only-finetuned-imdb
This model is a fine-tuned version of ai4bharat/IndicBERTv2-MLM-only on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4984
- Model Preparation Time: 0.0041
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use 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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|---|---|---|---|---|
| 2.7249 | 1.0 | 250 | 2.4726 | 0.0041 |
| 2.4579 | 2.0 | 500 | 2.4316 | 0.0041 |
| 2.4185 | 3.0 | 750 | 2.2522 | 0.0041 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Dec 9, 2024
- Updated
- Dec 9, 2024