--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: flan-t5-small-tldr-50k results: [] --- # flan-t5-small-tldr-50k This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the Reddit TL;DR dataset (https://zenodo.org/record/1168855#.ZB8P-iFByUk). It achieves the following results on the evaluation set: - Gen Len: 16.4422 - Loss: 3.2423 - Rouge1: 14.7049 - Rouge2: 3.2396 - Rougel: 12.5104 - Rougelsum: 12.9681 ## 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: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |:-------------:|:-----:|:-----:|:-------:|:---------------:|:-------:|:------:|:-------:|:---------:| | 3.5507 | 1.0 | 5625 | 16.1424 | 3.2752 | 14.2302 | 2.9853 | 12.1734 | 12.5894 | | 3.4842 | 2.0 | 11250 | 16.1126 | 3.2569 | 14.3966 | 3.0939 | 12.2437 | 12.6705 | | 3.4288 | 3.0 | 16875 | 16.39 | 3.2481 | 14.6879 | 3.2647 | 12.5199 | 12.9681 | | 3.4176 | 4.0 | 22500 | 16.2948 | 3.2432 | 14.7198 | 3.2693 | 12.5436 | 12.9885 | | 3.4033 | 5.0 | 28125 | 16.4422 | 3.2423 | 14.7049 | 3.2396 | 12.5104 | 12.9681 | ### Framework versions - Transformers 4.27.3 - Pytorch 1.13.1 - Datasets 2.10.1 - Tokenizers 0.13.2