Mwnthai/bodo-bart-large-summ

bart-bas-summ

This model is a fine-tuned version of facebook/bart-large on the Mwnthai/bodo-legal-summary-data dataset. It achieves the following results on the evaluation set:

• Loss: 4.1477
• Rouge1: 21.2656
• Rouge2: 7.0402
• Rougel: 19.1943
• Rougelsum: 19.6362
• Gen Len: 128.0

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: 2
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.48.3
• Pytorch 2.0.1+cu117
• Datasets 3.2.0
• Tokenizers 0.21.0