--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: opus-mt-en-ru-finetuned results: [] --- # opus-mt-en-ru-finetuned This model is a fine-tuned version of [kazandaev/opus-mt-en-ru-finetuned](https://huggingface.co/kazandaev/opus-mt-en-ru-finetuned) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.8061 - Bleu: 39.3089 - Gen Len: 29.6895 ## 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: 49 - eval_batch_size: 24 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:| | 0.8593 | 1.0 | 35147 | 0.8723 | 37.1365 | 29.6618 | | 0.8611 | 2.0 | 70294 | 0.8582 | 37.6328 | 29.7661 | | 0.8825 | 3.0 | 105441 | 0.8529 | 37.2852 | 29.9074 | | 0.8644 | 4.0 | 140588 | 0.8432 | 38.088 | 29.632 | | 0.8555 | 5.0 | 175735 | 0.8341 | 37.9338 | 29.8584 | | 0.8492 | 6.0 | 210882 | 0.8281 | 38.4253 | 29.7771 | | 0.845 | 7.0 | 246029 | 0.8190 | 38.8127 | 29.818 | | 0.8338 | 8.0 | 281176 | 0.8080 | 39.2423 | 29.7133 | | 0.8327 | 9.0 | 316323 | 0.8080 | 39.082 | 29.7484 | | 0.8396 | 10.0 | 351470 | 0.8061 | 39.3089 | 29.6895 | ### Framework versions - Transformers 4.16.2 - Pytorch 1.10.0+cu111 - Datasets 1.18.3 - Tokenizers 0.11.0