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catla-banglat5-bn2en
shanjivkr/catla-banglat5-bn2en
catla-banglat5-bn2en is a machine learning model from shanjivkr. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Aug 16, 2026
- Updated
- Sep 5, 2026
- SHA
- 8ac76e30
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. -->
catla-banglat5-bn2en
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9656
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: 0.03
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 26.7093 | 0.0533 | 500 | 6.2806 |
| 22.7495 | 0.1067 | 1000 | 5.2391 |
| 21.8147 | 0.16 | 1500 | 4.9830 |
| 21.3641 | 0.2133 | 2000 | 4.7976 |
| 20.8020 | 0.2667 | 2500 | 4.6373 |
| 20.2898 | 0.32 | 3000 | 4.5038 |
| 20.0138 | 0.3733 | 3500 | 4.3997 |
| 19.7226 | 0.4267 | 4000 | 4.3179 |
| 19.5049 | 0.48 | 4500 | 4.2438 |
| 19.5232 | 0.5333 | 5000 | 4.1851 |
| 19.2840 | 0.5867 | 5500 | 4.1371 |
| 18.9835 | 0.64 | 6000 | 4.1007 |
| 19.0611 | 0.6933 | 6500 | 4.0506 |
| 18.8451 | 0.7467 | 7000 | 4.0281 |
| 18.8317 | 0.8 | 7500 | 4.0001 |
| 18.8763 | 0.8533 | 8000 | 3.9855 |
| 18.5757 | 0.9067 | 8500 | 3.9747 |
| 18.7727 | 0.96 | 9000 | 3.9656 |
Framework versions
- PEFT 0.19.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
- Library
- peft
- Created
- Aug 16, 2026
- Updated
- Sep 5, 2026