| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: din0s/msmarco-nlgen | |
| model-index: | |
| - name: t5-base-msmarco-nlgen-cb | |
| 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. --> | |
| # t5-base-msmarco-nlgen-cb | |
| This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the [MS MARCO Natural Language Generation](https://huggingface.co/datasets/din0s/msmarco-nlgen) dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.0571 | |
| - Rougelsum: 24.7427 | |
| ## 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: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rougelsum | | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:| | |
| | 2.1393 | 0.26 | 2500 | 2.1099 | 24.5028 | | |
| | 2.1006 | 0.52 | 5000 | 2.0739 | 24.6017 | | |
| | 2.0694 | 0.78 | 7500 | 2.0571 | 24.7427 | | |
| ### Framework versions | |
| - Transformers 4.23.0.dev0 | |
| - Pytorch 1.12.1+cu102 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |