--- tags: - generated_from_trainer metrics: - bleu model-index: - name: mt5-base-en-ru results: [] --- # mt5-base-en-ru This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.7194 - Bleu: 14.3528 - Gen Len: 17.8655 ## 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: 16 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 10 - total_train_batch_size: 160 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| | 0.5319 | 1.0 | 9641 | 0.8010 | 14.0075 | 17.8566 | | 0.5903 | 2.0 | 19282 | 0.7652 | 14.268 | 17.8691 | | 0.6942 | 3.0 | 28923 | 0.7194 | 14.3528 | 17.8655 | ### Framework versions - Transformers 4.16.2 - Pytorch 1.10.2+cu113 - Datasets 1.18.3 - Tokenizers 0.11.0