--- license: apache-2.0 base_model: t5-large tags: - generated_from_trainer metrics: - rouge model-index: - name: t5_recommendation_sports_equipment_english results: [] --- # t5_recommendation_sports_equipment_english This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.4020 - Rouge1: 57.9365 - Rouge2: 47.6190 - Rougel: 57.9365 - Rougelsum: 57.9365 - Gen Len: 4.1429 ## 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: 0.0001 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | No log | 0.96 | 6 | 7.7857 | 20.2721 | 10.3896 | 20.0454 | 20.9524 | 11.3810 | | No log | 1.92 | 12 | 3.1922 | 20.0 | 4.7619 | 20.4762 | 20.4762 | 3.1905 | | No log | 2.88 | 18 | 0.8028 | 5.5556 | 0.0 | 5.5556 | 5.5556 | 3.0 | | No log | 4.0 | 25 | 0.7207 | 32.8571 | 19.0476 | 32.9365 | 34.0476 | 3.2381 | | No log | 4.96 | 31 | 0.5217 | 50.3968 | 42.8571 | 50.0 | 50.7937 | 3.9524 | | No log | 5.92 | 37 | 0.4420 | 57.9365 | 47.6190 | 57.9365 | 57.9365 | 4.0476 | | No log | 6.88 | 43 | 0.4694 | 67.4603 | 61.9048 | 67.4603 | 67.4603 | 4.0 | | No log | 8.0 | 50 | 0.4408 | 57.9365 | 47.6190 | 57.9365 | 57.9365 | 4.1429 | | No log | 8.96 | 56 | 0.4269 | 57.9365 | 47.6190 | 57.9365 | 57.9365 | 4.1429 | | No log | 9.6 | 60 | 0.4020 | 57.9365 | 47.6190 | 57.9365 | 57.9365 | 4.1429 | ### Framework versions - Transformers 4.33.2 - Pytorch 2.0.1+cu118 - Datasets 2.8.0 - Tokenizers 0.13.3