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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

Training Loss Epoch Step Validation Loss Rouge1 Precision Rouge1 Recall Rouge1 Fmeasure Rouge2 Precision Rouge2 Recall Rouge2 Fmeasure Rougel Precision Rougel Recall Rougel Fmeasure Rougelsum Precision Rougelsum Recall Rougelsum Fmeasure Bleu-1 Bleu-2 Bleu-3 Bleu-4 Meteor
0.698 1.0 6769 0.5654 35.1173 28.5689 30.6164 14.7565 11.6885 12.6012 33.0241 26.9309 28.8245 33.0061 26.9075 28.807 22.6163 13.6841 8.8346 5.926 0.1314
0.6202 2.0 13538 0.5437 36.3795 29.5116 31.6675 15.5398 12.3022 13.2805 34.3036 27.8749 29.8881 34.2498 27.8384 29.8439 23.2744 14.1999 9.2715 6.2908 0.1364
0.5878 3.0 20307 0.5322 37.2522 30.1185 32.3701 16.0437 12.6396 13.6664 35.0062 28.3657 30.4487 34.9742 28.3319 30.4195 23.7569 14.5781 9.5429 6.52 0.1407
0.5761 4.0 27076 0.5309 37.5 30.4513 32.6723 16.2813 12.9079 13.9284 35.2662 28.6924 30.755 35.2509 28.6759 30.7444 23.9098 14.7458 9.684 6.6217 0.142

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 } }

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