ViEde

--- library_name: transformers license: mit base_model: NIRVLab/bartede tags: - generated_from_trainer metrics: - bleu model-index: - name: ViEde results: [] --- # ViEde This model is a fine-tuned version of [NIRVLab/bartede](https://huggingface.co/NIRVLab/bartede) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4809 - Bleu: 22.833 - Chrf++: 46.2491 ## 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: 100 - eval_batch_size: 100 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.06 - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf++ | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| | 0.273 | 1.0 | 2080 | 0.4809 | 22.833 | 46.2491 | | 0.1331 | 2.0 | 4160 | 0.5284 | 24.6028 | 48.483 | | 0.0964 | 3.0 | 6240 | 0.5543 | 25.6692 | 49.2306 | ### Framework versions - Transformers 4.57.6 - Pytorch 2.10.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2