--- tags: - generated_from_trainer metrics: - bleu model-index: - name: nllb-200-distilled-600M-finetuned-isv_v2 results: [] --- # nllb-200-distilled-600M-finetuned-isv_v2 This model is a fine-tuned version of [Salavat/nllb-200-distilled-600M-finetuned-isv_v2](https://huggingface.co/Salavat/nllb-200-distilled-600M-finetuned-isv_v2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.0552 - Bleu: 9.1195 - Gen Len: 11.252 ## 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: 3e-06 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| | 1.5967 | 1.0 | 8000 | 3.0552 | 9.1195 | 11.252 | ### Framework versions - Transformers 4.29.2 - Pytorch 2.0.1+cu118 - Datasets 2.12.0 - Tokenizers 0.13.3