--- license: apache-2.0 tags: - generated_from_trainer datasets: - kde4 model-index: - name: mt5-small-finetuned-2epochs-kde4-en-to-it results: [] --- # mt5-small-finetuned-2epochs-kde4-en-to-it This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the kde4 dataset. It achieves the following results on the evaluation set: - Loss: 1.5777 ## 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: 2e-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: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 2.2688 | 1.0 | 24814 | 1.6485 | | 2.0974 | 2.0 | 49628 | 1.5777 | ### Framework versions - Transformers 4.23.1 - Pytorch 1.12.1+cu113 - Datasets 2.6.1 - Tokenizers 0.13.1