--- language: - zh - ko base_model: facebook/mbart-large-50-many-to-many-mmt tags: - generated_from_trainer metrics: - bleu model-index: - name: zhko_mbartLarge_100p_run1 results: [] --- # zhko_mbartLarge_100p_run1 This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.8988 - Bleu: 42.7907 - Gen Len: 13.7941 ## 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: 5e-05 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - total_eval_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.01 - num_epochs: 15 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:| | 0.9719 | 1.0 | 70919 | 0.9435 | 40.8492 | 13.8028 | | 0.7537 | 2.0 | 141839 | 0.8988 | 42.7907 | 13.7941 | | 0.5973 | 3.0 | 212758 | 0.9143 | 43.4697 | 13.6556 | | 0.4873 | 4.0 | 283678 | 0.9758 | 43.6153 | 13.6544 | | 0.388 | 5.0 | 354597 | 1.0400 | 43.3763 | 13.6067 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.1+cu121 - Datasets 2.15.0 - Tokenizers 0.15.0