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indictrans2-gujlish-finetuned
prakhar175/indictrans2-gujlish-finetuned
indictrans2-gujlish-finetuned is a machine learning model from prakhar175. 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 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
- Library
- transformers
- License
- mit
- Model type
- IndicTrans
- Access
- Public
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026
- SHA
- 4cc4b873
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. -->
indictrans2-gujlish-finetuned
This model is a fine-tuned version of ai4bharat/indictrans2-indic-en-1B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6360
- Bleu: 63.6462
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: 5e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.5848 | 1.0 | 750 | 0.5250 | 60.6931 |
| 0.3323 | 2.0 | 1500 | 0.5132 | 62.4508 |
| 0.1894 | 3.0 | 2250 | 0.5572 | 62.9560 |
| 0.117 | 4.0 | 3000 | 0.6013 | 63.4179 |
| 0.0725 | 5.0 | 3750 | 0.6360 | 63.6462 |
Framework versions
- Transformers 4.53.2
- Pytorch 2.13.0+cu130
- Datasets 5.0.0
- Tokenizers 0.21.4
- Library
- transformers
- Type
- IndicTrans
- License
- mit
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026