--- license: apache-2.0 base_model: Helsinki-NLP/opus-mt-id-en tags: - generated_from_trainer metrics: - bleu model-index: - name: marian-finetuned-altp-corpus-id-en results: [] --- # marian-finetuned-altp-corpus-id-en This model is a fine-tuned version of [Helsinki-NLP/opus-mt-id-en](https://huggingface.co/Helsinki-NLP/opus-mt-id-en) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.3187 - Bleu: 40.954 - Gen Len: 29.7787 ## 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: 32 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| | 0.2475 | 1.0 | 503 | 0.3157 | 40.6545 | 29.6788 | | 0.2251 | 2.0 | 1006 | 0.3176 | 41.0823 | 29.7591 | | 0.2119 | 3.0 | 1509 | 0.3187 | 40.954 | 29.7787 | ### Framework versions - Transformers 4.33.3 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3