| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - cnn_dailymail | |
| metrics: | |
| - rouge | |
| base_model: google/flan-t5-small | |
| model-index: | |
| - name: small | |
| results: | |
| - task: | |
| type: summarization | |
| name: Summarization | |
| dataset: | |
| name: cnn_dailymail 3.0.0 | |
| type: cnn_dailymail | |
| config: 3.0.0 | |
| split: validation | |
| args: 3.0.0 | |
| metrics: | |
| - type: rouge | |
| value: 39.3083 | |
| name: Rouge1 | |
| <!-- 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. --> | |
| # small | |
| This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the cnn_dailymail 3.0.0 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.6841 | |
| - Rouge1: 39.3083 | |
| - Rouge2: 17.5532 | |
| - Rougel: 27.97 | |
| - Rougelsum: 36.4953 | |
| - Gen Len: 77.6173 | |
| ## 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: 4 | |
| - eval_batch_size: 4 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 16 | |
| - total_train_batch_size: 64 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: constant | |
| - num_epochs: 3.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.27.0.dev0 | |
| - Pytorch 1.13.0+cu117 | |
| - Datasets 2.7.1 | |
| - Tokenizers 0.12.1 | |