squad-bn-mt5-base2

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squad-bn-mt5-base2

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

• Loss: 0.5309
• Rouge1 Precision: 37.5039
• Rouge1 Recall: 30.4476
• Rouge1 Fmeasure: 32.6695
• Rouge2 Precision: 16.2843
• Rouge2 Recall: 12.9093
• Rouge2 Fmeasure: 13.9246
• Rougel Precision: 35.2648
• Rougel Recall: 28.6919
• Rougel Fmeasure: 30.7578
• Rougelsum Precision: 35.2646
• Rougelsum Recall: 28.6829
• Rougelsum Fmeasure: 30.7527
• Bleu-1: 23.9098
• Bleu-2: 14.7458
• Bleu-3: 9.684
• Bleu-4: 6.6217
• Meteor: 0.142

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: 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: 4

Training results

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.2

Citation

@misc {tahsin_mayeesha_2023, author = { {Tahsin Mayeesha} }, title = { squad-bn-mt5-base2 (Revision 4ab9b63) }, year = 2023, url = { https://huggingface.co/Tahsin-Mayeesha/squad-bn-mt5-base2 }, doi = { 10.57967/hf/0940 }, publisher = { Hugging Face } }