--- tags: - simplification - generated_from_trainer metrics: - bleu model-index: - name: mt5-base results: [] --- # mt5-base This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 7.2943 - Bleu: 0.5766 - Gen Len: 9.6098 ## 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: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| | No log | 1.0 | 16 | 10.5602 | 0.076 | 3.8049 | | No log | 2.0 | 32 | 8.3458 | 0.1439 | 5.1951 | | No log | 3.0 | 48 | 7.5921 | 0.4483 | 9.2683 | | No log | 4.0 | 64 | 7.2943 | 0.5766 | 9.6098 | ### Framework versions - Transformers 4.37.2 - Pytorch 2.1.0+cu121 - Datasets 2.17.1 - Tokenizers 0.15.2