--- license: apache-2.0 tags: - generated_from_trainer datasets: - turkic_xwmt metrics: - bleu model-index: - name: opus-mt-tr-en-finetuned-az-to-en results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: turkic_xwmt type: turkic_xwmt args: az-en metrics: - name: Bleu type: bleu value: 0.0002 --- # opus-mt-tr-en-finetuned-az-to-en This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tr-en](https://huggingface.co/Helsinki-NLP/opus-mt-tr-en) on the turkic_xwmt dataset. It achieves the following results on the evaluation set: - Loss: nan - Bleu: 0.0002 - Gen Len: 511.0 ## 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: 0.2 - 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: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| | No log | 1.0 | 38 | nan | 0.0002 | 511.0 | | No log | 2.0 | 76 | nan | 0.0002 | 511.0 | | No log | 3.0 | 114 | nan | 0.0002 | 511.0 | | No log | 4.0 | 152 | nan | 0.0002 | 511.0 | | No log | 5.0 | 190 | nan | 0.0002 | 511.0 | | No log | 6.0 | 228 | nan | 0.0002 | 511.0 | | No log | 7.0 | 266 | nan | 0.0002 | 511.0 | | No log | 8.0 | 304 | nan | 0.0002 | 511.0 | | No log | 9.0 | 342 | nan | 0.0002 | 511.0 | | No log | 10.0 | 380 | nan | 0.0002 | 511.0 | ### Framework versions - Transformers 4.19.2 - Pytorch 1.11.0+cu113 - Datasets 2.2.1 - Tokenizers 0.12.1