| license: apache-2.0 | |
| base_model: google/mt5-small | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: my_mt5_small_test-finetuned-textdetox | |
| 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. --> | |
| # my_mt5_small_test-finetuned-textdetox | |
| This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0016 | |
| - Rouge1: 59.8943 | |
| - Rouge2: 58.2553 | |
| - Rougel: 59.8778 | |
| - Rougelsum: 59.8882 | |
| - Gen Len: 14.7146 | |
| ## 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: 0.0001 | |
| - 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 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| | 0.0833 | 1.0 | 1760 | 0.0017 | 59.883 | 58.2419 | 59.8701 | 59.8806 | 14.7151 | | |
| | 0.0124 | 2.0 | 3520 | 0.0016 | 59.8943 | 58.2553 | 59.8778 | 59.8882 | 14.7146 | | |
| ### Framework versions | |
| - Transformers 4.40.2 | |
| - Pytorch 2.2.1+cu121 | |
| - Datasets 2.19.1 | |
| - Tokenizers 0.19.1 | |