generated_from_trainer

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text_shortening_model_v56

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
3.2947 1.0 288 2.7198 0.2581 0.1248 0.2329 0.2328 0.7592 0.7746 8.0751 18 0 13.4678 12.5095
2.8745 2.0 576 2.5497 0.2967 0.148 0.2692 0.269 0.8107 0.8193 7.7149 18 0 11.8552 8.3397
2.7549 3.0 864 2.4721 0.31 0.1548 0.2806 0.2805 0.8158 0.8247 7.7263 18 0 11.7786 6.975
2.6785 4.0 1152 2.4212 0.3135 0.1582 0.2834 0.2837 0.8185 0.8264 7.5815 18 0 11.6005 6.3685
2.6289 5.0 1440 2.3872 0.3188 0.1622 0.2879 0.2882 0.8196 0.8278 7.602 18 0 11.6497 6.5959
2.587 6.0 1728 2.3611 0.3224 0.1633 0.2909 0.2911 0.8202 0.8291 7.6232 18 0 11.6694 6.5959
2.5615 7.0 2016 2.3401 0.3284 0.168 0.297 0.2972 0.8222 0.8303 7.4936 18 0 11.5299 5.8378
2.5354 8.0 2304 2.3223 0.3299 0.1703 0.299 0.299 0.8228 0.831 7.5171 18 0 11.5519 5.9136
2.5074 9.0 2592 2.3069 0.3314 0.1702 0.2999 0.3 0.8237 0.832 7.5383 18 2 11.5595 5.8378
2.4868 10.0 2880 2.2944 0.3317 0.1713 0.3014 0.3013 0.8246 0.8317 7.4193 18 2 11.4519 5.5345
2.4773 11.0 3168 2.2830 0.3322 0.1705 0.3013 0.3013 0.8247 0.8319 7.3904 18 2 11.4238 5.0038
2.4571 12.0 3456 2.2738 0.3288 0.1685 0.2987 0.2987 0.8242 0.831 7.3343 18 2 11.3715 4.5489
2.4494 13.0 3744 2.2672 0.3322 0.1705 0.3013 0.3014 0.8251 0.8319 7.3351 18 2 11.3798 4.5489
2.4401 14.0 4032 2.2611 0.33 0.1692 0.3004 0.3005 0.8246 0.8315 7.3639 18 2 11.4139 4.8522
2.431 15.0 4320 2.2564 0.3303 0.1698 0.3004 0.3004 0.8248 0.8317 7.3745 18 2 11.4238 5.0796
2.4253 16.0 4608 2.2522 0.3308 0.1704 0.3016 0.3014 0.8252 0.8319 7.3328 18 2 11.3791 4.8522
2.4111 17.0 4896 2.2490 0.3313 0.1705 0.3017 0.3017 0.8254 0.8319 7.3222 18 2 11.3563 4.8522
2.4125 18.0 5184 2.2464 0.3313 0.1702 0.3017 0.3017 0.8254 0.8321 7.3328 18 2 11.3654 4.8522
2.4061 19.0 5472 2.2450 0.3313 0.1701 0.3017 0.3018 0.8254 0.8321 7.3359 18 2 11.3723 4.7763
2.4129 20.0 5760 2.2446 0.3315 0.1705 0.302 0.302 0.8254 0.8322 7.3374 18 2 11.3745 4.7763

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