generated_from_trainer

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xsum_and_billsum_and_samsum_old_modern

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

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:

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len Precision Recall F1 Hashcode
No log 1.0 26 3.7703 0.0825 0.0174 0.0661 0.0661 19.0 0.1104 -0.2075 -0.0 roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.28.1)-rescaled
No log 2.0 52 3.7653 0.0862 0.0191 0.0673 0.0675 19.0 0.1233 -0.2065 -0.0 roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.28.1)-rescaled
No log 3.0 78 3.7619 0.0872 0.0195 0.068 0.0684 19.0 0.1172 -0.2082 -0.0 roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.28.1)-rescaled
No log 4.0 104 3.7608 0.0877 0.0202 0.068 0.0684 19.0 0.1169 -0.209 -0.0 roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.28.1)-rescaled
No log 5.0 130 3.7600 0.0876 0.0206 0.0685 0.0687 19.0 0.1146 -0.2074 -0.0 roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.28.1)-rescaled
No log 6.0 156 3.7596 0.0878 0.0206 0.0683 0.0686 19.0 0.1201 -0.2057 -0.0 roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.28.1)-rescaled

Framework versions