--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: finetuned_translation_fa_en results: [] --- # finetuned_translation_fa_en This model is a fine-tuned version of [persiannlp/mt5-small-parsinlu-opus-translation_fa_en](https://huggingface.co/persiannlp/mt5-small-parsinlu-opus-translation_fa_en) on the TEP (https://opus.nlpl.eu/TEP.php) dataset. It achieves the following results on the evaluation set: - Loss: 1.4370 - Bleu: 24.2331 - Gen Len: 11.6467 ## 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: 16 - eval_batch_size: 16 - 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 | Bleu | Gen Len | |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| | 1.6184 | 1.0 | 30987 | 1.4370 | 24.2331 | 11.6467 | ### Framework versions - Transformers 4.20.1 - Pytorch 1.12.0+cu113 - Datasets 2.3.2 - Tokenizers 0.12.1