| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: din0s/msmarco-nlgen | |
| model-index: | |
| - name: t5-base-msmarco-nlgen-ob | |
| 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-ob | |
| 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: 0.3874 | |
| - Rougelsum: 14.4418 | |
| ## 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: 8 | |
| - 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 | | |
| |:-------------:|:-----:|:-----:|:---------------:|:---------:| | |
| | 0.5472 | 0.13 | 2500 | 0.4383 | 14.2497 | | |
| | 0.5238 | 0.26 | 5000 | 0.4252 | 14.4210 | | |
| | 0.501 | 0.39 | 7500 | 0.4093 | 14.3315 | | |
| | 0.4958 | 0.52 | 10000 | 0.4006 | 14.3347 | | |
| | 0.4913 | 0.66 | 12500 | 0.3944 | 14.5925 | | |
| | 0.4873 | 0.79 | 15000 | 0.3914 | 14.4193 | | |
| | 0.466 | 0.92 | 17500 | 0.3874 | 14.4418 | | |
| ### Framework versions | |
| - Transformers 4.23.0.dev0 | |
| - Pytorch 1.12.1+cu102 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |