| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: bert2bert_shared-spanish-finetuned-summarization-finetuned-xsum | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # bert2bert_shared-spanish-finetuned-summarization-finetuned-xsum | |
| This model is a fine-tuned version of [mrm8488/bert2bert_shared-spanish-finetuned-summarization](https://huggingface.co/mrm8488/bert2bert_shared-spanish-finetuned-summarization) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.3690 | |
| - Rouge1: 50.02 | |
| - Rouge2: 35.706 | |
| - Rougel: 46.6253 | |
| - Rougelsum: 46.6412 | |
| - Gen Len: 22.1176 | |
| ## 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 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| | 2.5969 | 1.0 | 3090 | 2.4559 | 49.4282 | 35.2705 | 46.095 | 46.0994 | 22.5422 | | |
| | 2.3318 | 2.0 | 6180 | 2.3690 | 50.02 | 35.706 | 46.6253 | 46.6412 | 22.1176 | | |
| ### Framework versions | |
| - Transformers 4.24.0 | |
| - Pytorch 1.12.1+cu113 | |
| - Datasets 2.7.0 | |
| - Tokenizers 0.13.2 | |