--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: MarathiSampark results: [] --- # MarathiSampark This model is a fine-tuned version of [Helsinki-NLP/opus-mt-mr-en](https://huggingface.co/Helsinki-NLP/opus-mt-mr-en) on the None dataset. It achieves the following results on the evaluation set: - Loss: 3.8468 - Bleu: 0.1653 - Gen Len: 3.5172 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| | No log | 1.0 | 197 | 3.8495 | 0.1734 | 3.4637 | | No log | 2.0 | 394 | 3.8468 | 0.1653 | 3.5172 | ### Framework versions - Transformers 4.30.2 - Pytorch 2.0.1+cu118 - Datasets 2.13.1 - Tokenizers 0.13.3