| license: apache-2.0 | |
| tags: | |
| - summarization | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: BARTkrame-abstract-mT5 | |
| 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. --> | |
| # BARTkrame-abstract-mT5 | |
| This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.2557 | |
| - Rouge1: 0.2223 | |
| - Rouge2: 0.0735 | |
| - Rougel: 0.1826 | |
| - Rougelsum: 0.1849 | |
| ## 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: 4 | |
| - eval_batch_size: 4 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 4 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| | |
| | 4.9563 | 1.0 | 1250 | 2.3674 | 0.2206 | 0.0755 | 0.1853 | 0.1869 | | |
| | 3.1856 | 2.0 | 2500 | 2.2988 | 0.2296 | 0.0757 | 0.1888 | 0.1910 | | |
| | 3.0083 | 3.0 | 3750 | 2.2668 | 0.2201 | 0.0728 | 0.1816 | 0.1832 | | |
| | 2.9296 | 4.0 | 5000 | 2.2557 | 0.2223 | 0.0735 | 0.1826 | 0.1849 | | |
| ### Framework versions | |
| - Transformers 4.23.1 | |
| - Pytorch 1.12.1+cu113 | |
| - Datasets 2.6.1 | |
| - Tokenizers 0.13.1 | |