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tarek23/
flan-t5-qg-LQ-tarek-test

Name: flan-t5-qg-LQ-tarek-test
Availability: InStock

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flan-t5-qg-LQ-tarek-test

This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.5322
Rouge1: 23.9922
Rouge2: 6.7099
Rougel: 21.5985
Rougelsum: 21.5946
Gen Len: 16.1304
Meteor: {'meteor': 0.17861183292998817}
Bleu: {'bleu': 0.032560412750946656, 'precisions': [0.31838712287431764, 0.07483151167147811, 0.02936351414577522, 0.011773119505596449], 'brevity_penalty': 0.6077920327728761, 'length_ratio': 0.6675912775198823, 'translation_length': 210109, 'reference_length': 314727}

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len	Meteor	Bleu
1.565	1.0	23583	1.5526	23.7548	6.5396	21.3855	21.3784	16.1645	{'meteor': 0.17704033979826234}	{'bleu': 0.03244683754192353, 'precisions': [0.31640932313437786, 0.07308847939823084, 0.029126556774398793, 0.011756263748055154], 'brevity_penalty': 0.6116573626703378, 'length_ratio': 0.6704286572172073, 'translation_length': 211002, 'reference_length': 314727}
1.4823	2.0	47166	1.5322	23.9922	6.7099	21.5985	21.5946	16.1304	{'meteor': 0.17861183292998817}	{'bleu': 0.032560412750946656, 'precisions': [0.31838712287431764, 0.07483151167147811, 0.02936351414577522, 0.011773119505596449], 'brevity_penalty': 0.6077920327728761, 'length_ratio': 0.6675912775198823, 'translation_length': 210109, 'reference_length': 314727}