--- license: cc-by-nc-sa-4.0 base_model: deutsche-telekom/mt5-small-sum-de-en-v1 tags: - generated_from_trainer metrics: - rouge model-index: - name: mt5-small-sum-de-en-v1-finetuned-amazon-en-de results: [] --- # mt5-small-sum-de-en-v1-finetuned-amazon-en-de This model is a fine-tuned version of [deutsche-telekom/mt5-small-sum-de-en-v1](https://huggingface.co/deutsche-telekom/mt5-small-sum-de-en-v1) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.5661 - Rouge1: 20.9307 - Rouge2: 12.3388 - Rougel: 20.4694 - Rougelsum: 20.6594 ## 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: 5.6e-05 - train_batch_size: 10 - eval_batch_size: 10 - 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:| | 2.3857 | 1.0 | 1041 | 2.5918 | 19.0955 | 10.5762 | 18.6534 | 18.707 | | 2.3597 | 2.0 | 2082 | 2.5887 | 20.2078 | 11.1543 | 19.5663 | 19.7039 | | 2.3623 | 3.0 | 3123 | 2.5802 | 20.1696 | 12.0499 | 19.7038 | 19.89 | | 2.3815 | 4.0 | 4164 | 2.5498 | 19.9131 | 11.5376 | 19.4158 | 19.5746 | | 2.3735 | 5.0 | 5205 | 2.5559 | 20.5713 | 11.8808 | 19.9335 | 20.1211 | | 2.3269 | 6.0 | 6246 | 2.5574 | 19.8362 | 11.033 | 19.3193 | 19.5623 | | 2.2956 | 7.0 | 7287 | 2.5479 | 19.8859 | 11.5389 | 19.4015 | 19.7004 | | 2.2646 | 8.0 | 8328 | 2.5669 | 20.4666 | 12.2804 | 20.0291 | 20.1897 | | 2.2618 | 9.0 | 9369 | 2.5703 | 20.9783 | 12.3152 | 20.445 | 20.6735 | | 2.236 | 10.0 | 10410 | 2.5661 | 20.9307 | 12.3388 | 20.4694 | 20.6594 | ### Framework versions - Transformers 4.34.1 - Pytorch 2.1.0+cu118 - Datasets 2.14.6 - Tokenizers 0.14.1