generated_from_trainer

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text_shortening_model_v26

This model is a fine-tuned version of t5-small 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 Bert precision Bert recall Average word count Max word count Min word count Average token count % shortened texts with length > 12
2.1038 1.0 145 1.6481 0.4984 0.2848 0.4508 0.4519 0.8723 0.8719 9.1502 18 3 13.7117 15.9159
1.7274 2.0 290 1.5436 0.5177 0.3156 0.4706 0.4714 0.8771 0.8775 9.1141 18 4 13.6637 14.7147
1.561 3.0 435 1.4685 0.5264 0.3157 0.4671 0.469 0.8773 0.8793 9.2823 17 4 13.955 14.1141
1.4244 4.0 580 1.4429 0.5213 0.3136 0.4674 0.4689 0.8772 0.8774 9.0811 17 4 13.8288 12.9129
1.3375 5.0 725 1.4171 0.5326 0.3172 0.4768 0.4778 0.8785 0.8807 9.3063 18 5 13.964 14.4144
1.2462 6.0 870 1.3989 0.5259 0.3126 0.4707 0.4714 0.8807 0.8768 8.6577 17 4 13.1441 9.6096
1.1822 7.0 1015 1.3797 0.5321 0.3147 0.4687 0.4699 0.8798 0.8792 9.009 17 4 13.6877 12.9129
1.1001 8.0 1160 1.3735 0.5387 0.325 0.481 0.4814 0.8805 0.8835 9.3213 17 4 14.0601 14.7147
1.0329 9.0 1305 1.3813 0.53 0.3122 0.4694 0.4706 0.8799 0.8811 9.024 17 4 13.7057 11.1111
0.9891 10.0 1450 1.3734 0.5334 0.3191 0.4715 0.4726 0.8793 0.8829 9.3243 17 4 14.1291 13.8138
0.9205 11.0 1595 1.3687 0.5279 0.3111 0.4663 0.4676 0.8793 0.8802 9.03 16 4 13.6577 11.4114
0.8857 12.0 1740 1.3986 0.5219 0.3098 0.4694 0.4703 0.8811 0.879 8.8018 15 3 13.3934 11.4114
0.8444 13.0 1885 1.4143 0.5291 0.3084 0.4707 0.4718 0.8802 0.8796 9.03 17 4 13.6727 13.5135
0.8039 14.0 2030 1.4352 0.5216 0.2989 0.4631 0.464 0.8812 0.878 8.7958 16 4 13.4805 9.3093
0.7653 15.0 2175 1.4509 0.525 0.3076 0.4743 0.4751 0.8834 0.8783 8.5526 16 4 13.2162 8.7087
0.7256 16.0 2320 1.4541 0.5153 0.2952 0.4566 0.4579 0.8779 0.8768 8.8739 16 4 13.5405 12.012
0.7018 17.0 2465 1.4859 0.5312 0.306 0.4722 0.4727 0.8812 0.8823 9.0841 17 4 13.6967 14.4144
0.6784 18.0 2610 1.4977 0.5215 0.3068 0.4674 0.4684 0.8817 0.877 8.5766 16 4 13.2072 10.2102
0.6483 19.0 2755 1.5040 0.5297 0.3192 0.4757 0.4756 0.8817 0.8818 9.021 16 4 13.7327 12.012
0.6166 20.0 2900 1.5376 0.526 0.3119 0.4768 0.4774 0.8835 0.8808 8.8138 16 4 13.3634 10.2102
0.5955 21.0 3045 1.5198 0.528 0.3129 0.4795 0.4805 0.8829 0.8807 8.8769 16 4 13.5075 9.9099
0.5678 22.0 3190 1.5499 0.518 0.2988 0.4636 0.464 0.8802 0.8785 8.9249 17 4 13.6006 12.6126
0.5599 23.0 3335 1.5487 0.519 0.3057 0.4691 0.4698 0.8812 0.8773 8.6607 18 4 13.2192 9.3093
0.535 24.0 3480 1.5912 0.5243 0.3054 0.4708 0.4717 0.8828 0.8779 8.6456 16 4 13.1532 9.9099
0.5189 25.0 3625 1.5995 0.5314 0.3106 0.4735 0.474 0.8827 0.8815 8.9099 18 4 13.6126 12.6126
0.4981 26.0 3770 1.6036 0.5222 0.3037 0.4675 0.4676 0.8824 0.8788 8.7658 15 4 13.3784 9.9099
0.4729 27.0 3915 1.6360 0.5114 0.2927 0.46 0.4604 0.8807 0.875 8.5676 15 4 13.1592 9.009
0.462 28.0 4060 1.6648 0.5145 0.2945 0.4586 0.459 0.8812 0.8754 8.5435 17 3 13.0841 9.009
0.4467 29.0 4205 1.6749 0.5076 0.2828 0.4527 0.4533 0.8794 0.8746 8.6697 16 3 13.1772 9.6096
0.4298 30.0 4350 1.6873 0.5215 0.2976 0.4683 0.4679 0.8822 0.8774 8.5766 16 3 13.1682 7.8078
0.4186 31.0 4495 1.7008 0.5129 0.2915 0.4614 0.4614 0.8814 0.8763 8.5736 16 4 13.1892 8.7087
0.4043 32.0 4640 1.7077 0.5121 0.2859 0.4572 0.457 0.8796 0.8765 8.7387 16 3 13.4114 10.2102
0.3835 33.0 4785 1.7421 0.5106 0.2831 0.4579 0.4577 0.8785 0.8763 8.7988 17 3 13.4865 10.8108
0.377 34.0 4930 1.7763 0.5135 0.2907 0.4585 0.4586 0.8808 0.8768 8.6787 15 3 13.4084 10.8108
0.3672 35.0 5075 1.7642 0.5243 0.3018 0.4701 0.4694 0.8826 0.8777 8.5616 15 3 13.1892 9.6096
0.3499 36.0 5220 1.7840 0.5175 0.2965 0.466 0.4656 0.8815 0.8772 8.5796 17 3 13.2252 9.9099
0.3417 37.0 5365 1.8032 0.5163 0.2964 0.4638 0.4636 0.8801 0.8785 8.8348 16 3 13.6156 11.4114
0.3364 38.0 5510 1.8112 0.5096 0.2832 0.4532 0.4536 0.8783 0.8763 8.8829 17 4 13.4925 10.5105
0.315 39.0 5655 1.8360 0.5208 0.3034 0.4692 0.4694 0.8836 0.8797 8.7177 17 4 13.3213 11.4114
0.3117 40.0 5800 1.8419 0.5069 0.285 0.4555 0.4558 0.879 0.8746 8.7117 17 3 13.3634 9.009
0.3195 41.0 5945 1.8435 0.5214 0.2984 0.4686 0.4691 0.8817 0.8779 8.7297 17 3 13.3303 11.4114
0.3062 42.0 6090 1.8574 0.5174 0.2941 0.4672 0.4676 0.8827 0.8779 8.6907 17 3 13.3604 9.6096
0.2892 43.0 6235 1.8839 0.5083 0.2939 0.4603 0.4603 0.8789 0.8763 8.7147 17 4 13.5045 10.8108
0.283 44.0 6380 1.8838 0.5078 0.2873 0.4546 0.4552 0.879 0.8757 8.7327 17 4 13.5135 10.8108
0.2813 45.0 6525 1.8947 0.5126 0.2919 0.4603 0.4608 0.8803 0.8762 8.7027 16 3 13.4505 10.8108
0.2716 46.0 6670 1.9045 0.5163 0.3 0.4687 0.4686 0.8813 0.8771 8.6126 17 4 13.3303 9.3093
0.2604 47.0 6815 1.9097 0.5106 0.2928 0.4617 0.4621 0.8796 0.8761 8.7477 17 3 13.5135 9.009
0.2514 48.0 6960 1.9477 0.5156 0.2959 0.463 0.4633 0.8813 0.876 8.6006 17 3 13.3453 8.4084
0.2444 49.0 7105 1.9599 0.5107 0.2903 0.4581 0.4586 0.8796 0.875 8.6607 16 4 13.3994 8.4084
0.2428 50.0 7250 1.9775 0.5082 0.2903 0.4587 0.4587 0.88 0.8748 8.5435 16 3 13.2823 8.1081
0.2395 51.0 7395 1.9783 0.5154 0.2948 0.4647 0.4647 0.8809 0.8768 8.6817 17 3 13.3303 9.6096
0.2317 52.0 7540 1.9881 0.5092 0.2895 0.4545 0.4546 0.8807 0.8766 8.6126 17 3 13.3964 7.8078
0.224 53.0 7685 2.0001 0.5165 0.3017 0.4622 0.4627 0.8802 0.8777 8.7598 17 3 13.4895 9.3093
0.2161 54.0 7830 2.0140 0.5176 0.2974 0.465 0.4652 0.881 0.878 8.7327 17 3 13.4384 9.9099
0.2201 55.0 7975 2.0317 0.5102 0.2904 0.4554 0.4553 0.8802 0.8765 8.6306 16 3 13.3754 10.8108
0.2153 56.0 8120 2.0427 0.5172 0.2983 0.4632 0.4632 0.8808 0.8771 8.7297 17 3 13.4114 11.1111
0.211 57.0 8265 2.0432 0.5165 0.2983 0.4652 0.4652 0.8815 0.8765 8.5976 17 3 13.2432 9.9099
0.1995 58.0 8410 2.0720 0.5062 0.2913 0.4528 0.4528 0.8781 0.8739 8.6006 17 3 13.2763 8.7087
0.2072 59.0 8555 2.0574 0.5099 0.2902 0.4554 0.4563 0.8803 0.8751 8.5435 17 3 13.1411 9.009
0.1989 60.0 8700 2.0722 0.5127 0.2943 0.459 0.4585 0.8807 0.8767 8.6967 17 4 13.3213 11.1111
0.1911 61.0 8845 2.0669 0.5125 0.2922 0.459 0.4581 0.8806 0.875 8.5556 16 3 13.1622 9.009
0.1902 62.0 8990 2.0912 0.5063 0.2892 0.4498 0.45 0.8795 0.8739 8.5105 17 4 13.0751 9.9099
0.1905 63.0 9135 2.0875 0.5029 0.2845 0.4492 0.4492 0.878 0.8745 8.6727 16 4 13.3423 10.5105
0.1895 64.0 9280 2.0787 0.5094 0.2941 0.4551 0.4557 0.8791 0.8751 8.7117 17 4 13.2973 9.9099
0.1813 65.0 9425 2.0960 0.5168 0.2998 0.462 0.4619 0.8812 0.8773 8.7177 17 4 13.3634 10.8108
0.1856 66.0 9570 2.0888 0.5053 0.2921 0.4549 0.4552 0.8793 0.8746 8.5676 17 3 13.1772 8.7087
0.1669 67.0 9715 2.1158 0.5184 0.3018 0.4623 0.4624 0.8814 0.8772 8.6517 17 4 13.2462 12.012
0.1676 68.0 9860 2.1246 0.5195 0.2977 0.4642 0.4638 0.8814 0.8778 8.7207 17 4 13.3243 11.4114
0.1682 69.0 10005 2.1325 0.5112 0.2963 0.4572 0.4579 0.8805 0.8759 8.5916 17 4 13.1742 9.9099
0.1664 70.0 10150 2.1442 0.5048 0.2828 0.4505 0.4506 0.8786 0.8743 8.6366 17 4 13.2883 8.7087
0.1655 71.0 10295 2.1339 0.5132 0.295 0.4603 0.4603 0.8802 0.8754 8.7087 17 4 13.3273 10.8108
0.1621 72.0 10440 2.1391 0.5036 0.2858 0.4527 0.4526 0.8786 0.8722 8.4715 17 4 13.0901 9.009
0.1624 73.0 10585 2.1438 0.5055 0.2865 0.4558 0.4557 0.8786 0.8737 8.5255 17 4 13.1832 9.009
0.1486 74.0 10730 2.1623 0.5073 0.2871 0.4554 0.4551 0.8794 0.8745 8.5375 17 4 13.2372 8.4084
0.1593 75.0 10875 2.1699 0.5054 0.2873 0.4527 0.4526 0.8782 0.874 8.6126 17 4 13.2913 10.2102
0.16 76.0 11020 2.1652 0.5062 0.284 0.4557 0.4556 0.8788 0.8748 8.6937 17 4 13.2733 9.9099
0.1464 77.0 11165 2.1777 0.5073 0.2876 0.4556 0.4553 0.8786 0.8749 8.6787 17 4 13.3453 10.8108
0.1492 78.0 11310 2.1705 0.5027 0.2854 0.4498 0.45 0.8774 0.8738 8.6937 17 4 13.3724 10.5105
0.1565 79.0 11455 2.1738 0.4946 0.2768 0.4432 0.4431 0.8757 0.8718 8.5916 17 4 13.3303 10.2102
0.1429 80.0 11600 2.1968 0.5021 0.2878 0.4523 0.452 0.8781 0.8737 8.5375 17 4 13.2583 9.009
0.1424 81.0 11745 2.1810 0.509 0.2909 0.4562 0.4558 0.8785 0.8752 8.6186 17 3 13.2703 10.8108
0.1447 82.0 11890 2.1790 0.5042 0.283 0.4504 0.4507 0.8782 0.874 8.5616 15 4 13.2162 10.5105
0.1399 83.0 12035 2.1908 0.5018 0.2801 0.4489 0.4488 0.8772 0.8733 8.5796 17 3 13.2042 10.2102
0.1417 84.0 12180 2.1985 0.504 0.2812 0.4534 0.4527 0.8782 0.8739 8.5375 17 3 13.0751 9.6096
0.1375 85.0 12325 2.1914 0.5061 0.2844 0.4557 0.4549 0.8791 0.8749 8.5435 17 4 13.1441 9.9099
0.1354 86.0 12470 2.2087 0.5084 0.2889 0.4592 0.4589 0.8798 0.8755 8.5315 17 4 13.1321 10.2102
0.1381 87.0 12615 2.2014 0.5068 0.2857 0.4555 0.4551 0.8792 0.8754 8.5345 17 4 13.1802 10.2102
0.137 88.0 12760 2.2022 0.5077 0.2894 0.4561 0.4552 0.8793 0.8753 8.5495 17 4 13.1682 10.2102
0.1301 89.0 12905 2.2055 0.5096 0.2905 0.4581 0.4581 0.8795 0.8758 8.6186 17 4 13.1802 10.2102
0.1374 90.0 13050 2.2118 0.507 0.2865 0.4544 0.4544 0.8793 0.8751 8.5766 17 4 13.1532 9.9099
0.1338 91.0 13195 2.2074 0.5048 0.2863 0.453 0.4529 0.8791 0.8747 8.5135 17 4 13.0661 8.7087
0.1308 92.0 13340 2.2144 0.5053 0.2886 0.4542 0.4545 0.8789 0.8742 8.5195 17 3 13.0961 8.4084
0.1254 93.0 13485 2.2208 0.5118 0.294 0.4611 0.4612 0.8805 0.8763 8.5225 17 3 13.1141 8.4084
0.1311 94.0 13630 2.2254 0.5084 0.2909 0.4573 0.4573 0.8798 0.8752 8.5165 17 3 13.0751 7.8078
0.1272 95.0 13775 2.2274 0.5056 0.2872 0.454 0.4538 0.8792 0.8745 8.5766 17 3 13.1982 8.4084
0.1304 96.0 13920 2.2313 0.5053 0.2879 0.4526 0.4526 0.8794 0.8747 8.5435 17 3 13.1652 8.7087
0.1303 97.0 14065 2.2304 0.5061 0.2871 0.4532 0.4532 0.8793 0.8748 8.5586 17 3 13.2012 8.7087
0.1306 98.0 14210 2.2303 0.5081 0.2889 0.4556 0.4552 0.8796 0.8753 8.5766 17 3 13.2102 8.7087
0.1387 99.0 14355 2.2304 0.5088 0.2903 0.4563 0.4561 0.8799 0.8754 8.5766 17 3 13.2042 9.009
0.1339 100.0 14500 2.2306 0.5085 0.2908 0.4563 0.456 0.88 0.8755 8.5646 17 3 13.2012 8.7087

Framework versions