| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: t5-base-finetuned-p7_V2 | |
| 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-finetuned-p7_V2 | |
| This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.5882 | |
| - Rouge1: 53.6225 | |
| - Rouge2: 43.8285 | |
| - Rougel: 51.4683 | |
| - Rougelsum: 51.8848 | |
| - Gen Len: 18.2368 | |
| ## 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: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| | 0.7305 | 1.0 | 910 | 0.6238 | 52.767 | 42.9846 | 50.5281 | 50.9489 | 18.3125 | | |
| | 0.4819 | 2.0 | 1820 | 0.5835 | 53.6526 | 44.0044 | 51.6286 | 51.9821 | 18.2533 | | |
| | 0.4193 | 3.0 | 2730 | 0.5882 | 53.6225 | 43.8285 | 51.4683 | 51.8848 | 18.2368 | | |
| ### Framework versions | |
| - Transformers 4.29.2 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.3 | |