--- 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-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.0668 - Bleu: 17.4306 - Gen Len: 46.8231 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| | 1.9405 | 0.44 | 500 | 2.2660 | 0.0253 | 22.8633 | | 1.1843 | 0.89 | 1000 | 2.0616 | 0.0018 | 21.1749 | | 0.9938 | 1.33 | 1500 | 1.6499 | 2.3884 | 42.8784 | | 0.8307 | 1.78 | 2000 | 1.4181 | 6.5182 | 43.9226 | | 0.7281 | 2.22 | 2500 | 1.2915 | 9.27 | 44.205 | | 0.6684 | 2.67 | 3000 | 1.2056 | 12.5594 | 45.7598 | | 0.6297 | 3.11 | 3500 | 1.1529 | 14.6009 | 48.5106 | | 0.5787 | 3.56 | 4000 | 1.1187 | 16.3988 | 47.403 | | 0.5657 | 4.0 | 4500 | 1.0890 | 16.0136 | 45.2925 | | 0.5305 | 4.45 | 5000 | 1.0750 | 17.1562 | 47.5196 | | 0.5234 | 4.89 | 5500 | 1.0668 | 17.4306 | 46.8231 | ### Framework versions - Transformers 4.12.5 - Pytorch 1.9.1 - Datasets 1.17.0 - Tokenizers 0.10.3