| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams | |
| 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. --> | |
| # mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams | |
| 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: 2.0232 | |
| - Rouge1: 0.1454 | |
| - Rouge2: 0.0347 | |
| - Rougel: 0.116 | |
| - Rougelsum: 0.116 | |
| - Gen Len: 18.8315 | |
| ## 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: 2 | |
| - eval_batch_size: 2 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | |
| | 2.8148 | 1.0 | 5187 | 2.1144 | 0.0873 | 0.0144 | 0.0735 | 0.0735 | 14.5934 | | |
| | 2.5722 | 2.0 | 10374 | 2.0385 | 0.1409 | 0.0317 | 0.1129 | 0.113 | 18.8498 | | |
| | 2.5129 | 3.0 | 15561 | 2.0232 | 0.1454 | 0.0347 | 0.116 | 0.116 | 18.8315 | | |
| ### Framework versions | |
| - Transformers 4.28.0 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.13.1 | |
| - Tokenizers 0.13.3 | |