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