--- license: apache-2.0 base_model: google/flan-t5-base tags: - generated_from_trainer metrics: - rouge model-index: - name: t5-flan-semantic results: [] --- # t5-flan-semantic This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0000 - Rouge1: 1.0 - Rouge2: 1.0 - Rougel: 1.0 - Rougelsum: 1.0 ## 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: 0.0003 - train_batch_size: 8 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 30 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| | No log | 1.0 | 1 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 2.0 | 2 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 3.0 | 3 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 4.0 | 4 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 5.0 | 5 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 6.0 | 6 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 7.0 | 7 | 0.0020 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 8.0 | 8 | 0.0083 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 9.0 | 9 | 0.0303 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 10.0 | 10 | 0.0013 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 11.0 | 11 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 12.0 | 12 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 13.0 | 13 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 14.0 | 14 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 15.0 | 15 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 16.0 | 16 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 17.0 | 17 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 18.0 | 18 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 19.0 | 19 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 20.0 | 20 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 21.0 | 21 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 22.0 | 22 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 23.0 | 23 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 24.0 | 24 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 25.0 | 25 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 26.0 | 26 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 27.0 | 27 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 28.0 | 28 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 29.0 | 29 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | | No log | 30.0 | 30 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu118 - Datasets 2.14.7 - Tokenizers 0.15.0