--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: MarianMix_en-10 results: [] --- # MarianMix_en-10 This model is a fine-tuned version of [Helsinki-NLP/opus-tatoeba-en-ja](https://huggingface.co/Helsinki-NLP/opus-tatoeba-en-ja) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.6475 - Bleu: 3.3068 - Gen Len: 46.466 ## 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: 32 - eval_batch_size: 32 - seed: 99 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 10 - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| | 1.7048 | 0.44 | 500 | 1.0358 | 0.7054 | 50.216 | | 0.6727 | 0.89 | 1000 | 0.8751 | 1.1453 | 46.401 | | 0.5497 | 1.33 | 1500 | 0.7978 | 1.2939 | 46.27 | | 0.5087 | 1.77 | 2000 | 0.7424 | 1.7606 | 48.227 | | 0.4488 | 2.22 | 2500 | 0.7176 | 2.1927 | 47.076 | | 0.4077 | 2.66 | 3000 | 0.6888 | 2.5931 | 46.162 | | 0.3895 | 3.1 | 3500 | 0.6776 | 2.975 | 45.728 | | 0.3465 | 3.55 | 4000 | 0.6645 | 2.9679 | 46.047 | | 0.3464 | 3.99 | 4500 | 0.6533 | 3.435 | 46.317 | | 0.3119 | 4.43 | 5000 | 0.6517 | 3.4986 | 46.333 | | 0.3066 | 4.88 | 5500 | 0.6475 | 3.3068 | 46.466 | ### Framework versions - Transformers 4.12.5 - Pytorch 1.9.1 - Datasets 1.17.0 - Tokenizers 0.10.3