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baibars/
mt5-small-finetuned-bn_new

Name: mt5-small-finetuned-bn_new
Rating: 2.5 (5 reviews)

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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}

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The following hyperparameters were used during training:

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}