| --- |
| 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: 48.3063 |
| --- |
| |
| <!-- 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: 1.5068 |
| - Rouge1: 48.3063 |
| - Rouge2: 23.9806 |
| - Rougel: 39.8938 |
| - Rougelsum: 44.5518 |
| - Gen Len: 28.0 |
| - Test Rougel: 39.8938 |
| - Df Rougel: 41.3412 |
| - Unlearn Overall Rougel: -0.2237 |
| - Unlearn Time: 833.6055 |
| |
| ## 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: 1e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 4 |
| - 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 | 10 | 1.4950 | 48.9548 | 24.2526 | 42.6093 | 45.0242 | 24.9156 | -0.5616 | -0.5616 | -1 | |
| | No log | 2.0 | 20 | 1.4983 | 48.7024 | 24.2549 | 42.095 | 44.9152 | 25.5648 | -0.3513 | -0.3513 | -1 | |
| | No log | 3.0 | 30 | 1.5019 | 48.4999 | 24.1774 | 41.8905 | 44.8249 | 26.4401 | -0.2970 | -0.2970 | -1 | |
| | No log | 4.0 | 40 | 1.5055 | 48.3742 | 24.0652 | 41.6664 | 44.6241 | 27.6932 | -0.3179 | -0.3179 | -1 | |
| | No log | 5.0 | 50 | 1.5068 | 48.3063 | 23.9806 | 41.3412 | 44.5518 | 28.0 | -0.2237 | -0.2237 | -1 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.39.3 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.0 |
| - Tokenizers 0.15.2 |
| |
