--- license: apache-2.0 tags: - summarization - generated_from_trainer datasets: - snli model-index: - name: t5-small-finetuned-contradiction-local-test results: [] --- # t5-small-finetuned-contradiction-local-test This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the snli dataset. ## 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: 5.6e-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: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:| | No log | 1.0 | 405 | 2.5110 | 23.4004 | 8.9397 | 20.9541 | 21.5922 | ### Framework versions - Transformers 4.18.0 - Pytorch 1.11.0 - Datasets 2.1.0 - Tokenizers 0.12.1