--- license: apache-2.0 base_model: t5-small tags: - generated_from_trainer metrics: - rouge model-index: - name: text_shortening_model_v56 results: [] --- # text_shortening_model_v56 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.2446 - Rouge1: 0.3315 - Rouge2: 0.1705 - Rougel: 0.302 - Rougelsum: 0.302 - Bert precision: 0.8254 - Bert recall: 0.8322 - Average word count: 7.3374 - Max word count: 18 - Min word count: 2 - Average token count: 11.3745 - % shortened texts with length > 12: 4.7763 ## 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: - learning_rate: 1e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20 ### 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 | ### Framework versions - Transformers 4.33.1 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3