| --- |
| license: apache-2.0 |
| base_model: google/t5-v1_1-base |
| tags: |
| - generated_from_trainer |
| datasets: |
| - samsum |
| metrics: |
| - rouge |
| model-index: |
| - name: samsum_42 |
| results: |
| - task: |
| name: Summarization |
| type: summarization |
| dataset: |
| name: samsum |
| type: samsum |
| metrics: |
| - name: Rouge1 |
| type: rouge |
| value: 49.78 |
| --- |
| |
| <!-- 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. --> |
|
|
| # samsum_42 |
| |
| This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on the samsum dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4769 |
| - Rouge1: 49.78 |
| - Rouge2: 25.0211 |
| - Rougel: 41.3044 |
| - Rougelsum: 45.928 |
| - Gen Len: 24.1523 |
| - Test Rougel: 41.2383 |
| - Df Rougel: 41.8167 |
| - Unlearn Overall Rougel: 0.2108 |
| - Unlearn Time: 4034.7489 |
| |
| ## 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: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Overall Rougel | Unlearn Overall Rougel | Time | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:--------------:|:----------------------:|:----:| |
| | No log | 1.0 | 460 | 1.4973 | 48.6265 | 24.2942 | 41.7917 | 44.7761 | 22.6510 | -0.0701 | -0.0701 | -1 | |
| | No log | 2.0 | 920 | 1.4938 | 48.9671 | 24.4584 | 42.125 | 45.2967 | 24.3021 | -0.2166 | -0.2166 | -1 | |
| | 1.886 | 3.0 | 1380 | 1.4769 | 49.78 | 25.0211 | 41.8167 | 45.928 | 24.1523 | 0.2108 | 0.2108 | -1 | |
| | 1.886 | 4.0 | 1840 | 1.4737 | 49.4167 | 24.7497 | 41.9533 | 45.6082 | 23.8464 | 0.0736 | 0.0736 | -1 | |
| | 1.7917 | 5.0 | 2300 | 1.4701 | 49.5761 | 24.7762 | 42.1164 | 45.7806 | 23.8906 | 0.0526 | 0.0526 | -1 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.39.3 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.0 |
| - Tokenizers 0.15.2 |
| |
