mt5-small-finetuned-bn_new

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.9959
• Rouge1: {'precision': 15.65978835978838, 'recall': 10.193726027059379, 'fmeasure': 12.287113383501408}
• Rougel: {'precision': 14.951058201058215, 'recall': 9.73072853072855, 'fmeasure': 11.728911853731251}

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: 5.6e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rougel
8.555	1.0	253	2.9959	{'precision': 15.65978835978838, 'recall': 10.193726027059379, 'fmeasure': 12.287113383501408}	{'precision': 14.951058201058215, 'recall': 9.73072853072855, 'fmeasure': 11.728911853731251}

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.0+cpu
• Datasets 2.10.1
• Tokenizers 0.12.1