generated_from_trainer

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test_trainer

This model is a fine-tuned version of tvganesh/test_trainer on an unknown 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
No log 1.0 5 0.2345 0.7001 0.6536 0.6998 0.6957 16.3
No log 2.0 10 0.1472 0.7958 0.7695 0.7929 0.7965 18.3
No log 3.0 15 0.1174 0.7196 0.6705 0.7187 0.7118 16.3
No log 4.0 20 0.0554 0.7977 0.774 0.7907 0.7958 18.6
No log 5.0 25 0.0725 0.8205 0.8074 0.8188 0.8212 18.6
No log 6.0 30 0.0281 0.8114 0.7929 0.8098 0.8123 18.6
No log 7.0 35 0.0451 0.7959 0.7678 0.7908 0.7945 18.6
No log 8.0 40 0.0438 0.8285 0.8061 0.8205 0.8227 18.5
No log 9.0 45 0.0178 0.8249 0.8109 0.8225 0.8243 18.6
No log 10.0 50 0.0072 0.8325 0.8187 0.8294 0.8312 18.6
No log 11.0 55 0.0119 0.8336 0.8217 0.8315 0.833 18.6
No log 12.0 60 0.0104 0.8336 0.8217 0.8315 0.833 18.6
No log 13.0 65 0.0031 0.8325 0.8187 0.8294 0.8312 18.6
No log 14.0 70 0.0099 0.8325 0.8187 0.8294 0.8312 18.6
No log 15.0 75 0.0067 0.8284 0.8053 0.8213 0.8226 18.6
No log 16.0 80 0.0019 0.8325 0.8187 0.8294 0.8312 18.6
No log 17.0 85 0.0173 0.8143 0.798 0.8111 0.8102 18.2
No log 18.0 90 0.0007 0.8325 0.8187 0.8294 0.8312 18.6
No log 19.0 95 0.0004 0.8325 0.8187 0.8294 0.8312 18.6
No log 20.0 100 0.0195 0.8325 0.813 0.8294 0.8312 18.6
No log 21.0 105 0.0057 0.8325 0.813 0.8294 0.8312 18.6
No log 22.0 110 0.0005 0.8325 0.8187 0.8294 0.8312 18.6
No log 23.0 115 0.0010 0.8325 0.8187 0.8294 0.8312 18.6
No log 24.0 120 0.0003 0.8325 0.8187 0.8294 0.8312 18.6
No log 25.0 125 0.0004 0.8325 0.8187 0.8294 0.8312 18.6
No log 26.0 130 0.0005 0.8325 0.8187 0.8294 0.8312 18.6
No log 27.0 135 0.0002 0.8325 0.8187 0.8294 0.8312 18.6
No log 28.0 140 0.0001 0.8325 0.8187 0.8294 0.8312 18.6
No log 29.0 145 0.0010 0.8325 0.8187 0.8294 0.8312 18.6
No log 30.0 150 0.0003 0.8325 0.8187 0.8294 0.8312 18.6
No log 31.0 155 0.0001 0.8325 0.8187 0.8294 0.8312 18.6
No log 32.0 160 0.0000 0.8325 0.8187 0.8294 0.8312 18.6
No log 33.0 165 0.0000 0.8325 0.8187 0.8294 0.8312 18.6
No log 34.0 170 0.0000 0.8325 0.8187 0.8294 0.8312 18.6
No log 35.0 175 0.0000 0.8325 0.8187 0.8294 0.8312 18.6
No log 36.0 180 0.0000 0.8325 0.8187 0.8294 0.8312 18.6
No log 37.0 185 0.0000 0.8325 0.8187 0.8294 0.8312 18.6
No log 38.0 190 0.0000 0.8325 0.8187 0.8294 0.8312 18.6
No log 39.0 195 0.0000 0.8325 0.8187 0.8294 0.8312 18.6
No log 40.0 200 0.0000 0.8325 0.8187 0.8294 0.8312 18.6

Framework versions