| license: apache-2.0 | |
| base_model: google/mt5-large | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: tst-summarization | |
| 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. --> | |
| # tst-summarization | |
| This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 30.3505 | |
| - Rouge1: 2.7855 | |
| - Rouge2: 0.0203 | |
| - Rougel: 2.2791 | |
| - Rougelsum: 2.2817 | |
| - Gen Len: 119.3571 | |
| ## 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: 5e-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: 3.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.32.0.dev0 | |
| - Pytorch 2.0.0+cu118 | |
| - Datasets 2.14.0 | |
| - Tokenizers 0.13.3 | |