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kathe-kashmiri-indictrans2
AFTAB-E-AALAM/kathe-kashmiri-indictrans2
kathe-kashmiri-indictrans2 is a machine learning model from AFTAB-E-AALAM. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Aug 11, 2026
- Updated
- Aug 12, 2026
- SHA
- 61ce281d
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. -->
kathe-kashmiri-indictrans2
This model is a fine-tuned version of ai4bharat/indictrans2-en-indic-dist-200M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1289
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5273 | 1.0 | 2937 | 3.1289 |
| 4.1976 | 2.0 | 5874 | 3.4397 |
| 5.2173 | 3.0 | 8811 | 4.1950 |
| 6.5186 | 4.0 | 11748 | 5.8367 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.10.0+cu128
- Datasets 5.0.1
- Tokenizers 0.15.2
- Library
- peft
- License
- mit
- Created
- Aug 11, 2026
- Updated
- Aug 12, 2026