--- license: apache-2.0 base_model: Helsinki-NLP/opus-mt-en-ro tags: - generated_from_trainer datasets: - arrow metrics: - bleu model-index: - name: opus-mt-en-bkm-10e results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: arrow type: arrow config: default split: train args: default metrics: - name: Bleu type: bleu value: 7.1794 --- # opus-mt-en-bkm-10e This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/opus-mt-en-ro) on the arrow dataset. It achieves the following results on the evaluation set: - Loss: 1.5644 - Bleu: 7.1794 - Gen Len: 60.0222 ## 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: 96 - eval_batch_size: 96 - 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 | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| | No log | 1.0 | 186 | 2.6868 | 0.299 | 76.178 | | No log | 2.0 | 372 | 2.0190 | 2.2444 | 67.167 | | 3.115 | 3.0 | 558 | 1.8364 | 4.5959 | 59.7357 | | 3.115 | 4.0 | 744 | 1.7372 | 5.1827 | 61.7218 | | 3.115 | 5.0 | 930 | 1.6732 | 5.8295 | 59.7346 | | 1.8706 | 6.0 | 1116 | 1.6301 | 6.4389 | 60.9085 | | 1.8706 | 7.0 | 1302 | 1.6002 | 6.6498 | 60.4191 | | 1.8706 | 8.0 | 1488 | 1.5792 | 6.8315 | 60.2721 | | 1.7133 | 9.0 | 1674 | 1.5680 | 7.1239 | 60.5609 | | 1.7133 | 10.0 | 1860 | 1.5644 | 7.1794 | 60.0222 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2