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esahit/
SAS-finetuned-cochrane-medeasi

Name: SAS-finetuned-cochrane-medeasi
Availability: InStock

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SAS-finetuned-cochrane-medeasi

This model is a fine-tuned version of haining/scientific_abstract_simplification on an unknown dataset. It achieves the following results on the evaluation set:

Loss: nan
Bleu: {'bleu': 3.5213074954706223e-06, 'precisions': [0.49951576455396535, 0.15234465234465233, 0.06880219369313224, 0.036816459122902004], 'brevity_penalty': 2.9884691172035265e-05, 'length_ratio': 0.08757975289560735, 'translation_length': 9293, 'reference_length': 106109}
Sari: {'sari': 2.5441859559296094}

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Bleu	Sari
No log	1.0	159	nan	{'bleu': 3.5213074954706223e-06, 'precisions': [0.49951576455396535, 0.15234465234465233, 0.06880219369313224, 0.036816459122902004], 'brevity_penalty': 2.9884691172035265e-05, 'length_ratio': 0.08757975289560735, 'translation_length': 9293, 'reference_length': 106109}	{'sari': 2.5441859559296094}
No log	2.0	318	nan	{'bleu': 3.5213074954706223e-06, 'precisions': [0.49951576455396535, 0.15234465234465233, 0.06880219369313224, 0.036816459122902004], 'brevity_penalty': 2.9884691172035265e-05, 'length_ratio': 0.08757975289560735, 'translation_length': 9293, 'reference_length': 106109}	{'sari': 2.5441859559296094}
No log	3.0	477	nan	{'bleu': 3.5213074954706223e-06, 'precisions': [0.49951576455396535, 0.15234465234465233, 0.06880219369313224, 0.036816459122902004], 'brevity_penalty': 2.9884691172035265e-05, 'length_ratio': 0.08757975289560735, 'translation_length': 9293, 'reference_length': 106109}	{'sari': 2.5441859559296094}