banglat5-finetuned-new-method-new

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banglat5-finetuned-new-method-new

This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:

• Rouge1 Precision: 26.1936
• Rouge1 Recall: 27.4839
• Rouge1 Fmeasure: 26.0831
• Rouge2 Precision: 10.5258
• Rouge2 Recall: 11.6544
• Rouge2 Fmeasure: 10.651
• Rougel Precision: 24.2917
• Rougel Recall: 25.5269
• Rougel Fmeasure: 24.1921
• Gen Len: 8.6402
• Loss: 2.8106

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1