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banglat5-bangladata
bappy2001/banglat5-bangladata
banglat5-bangladata is a machine learning model from bappy2001. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Sep 19, 2025
- Updated
- Sep 19, 2025
- SHA
- e6cd1fd5
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. -->
banglat5-bangladata
This model is a fine-tuned version of csebuetnlp/banglat5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1027
- Rouge1: 1.5873
- Rouge2: 0.0
- Rougel: 1.5873
- Rougelsum: 1.5873
- Gen Len: 12.7143
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: 2
- eval_batch_size: 8
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 8.6168 | 1.0 | 754 | 4.3285 | 1.5873 | 0.0 | 1.5873 | 1.5873 | 14.1786 |
| 4.8514 | 2.0 | 1508 | 4.1374 | 1.5873 | 0.0 | 1.5873 | 1.5873 | 12.4881 |
| 4.7491 | 3.0 | 2262 | 4.1027 | 1.5873 | 0.0 | 1.5873 | 1.5873 | 12.7143 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.1.1
- Tokenizers 0.22.0
- Library
- transformers
- Type
- t5
- Created
- Sep 19, 2025
- Updated
- Sep 19, 2025