---
license: apache-2.0
base_model: google/t5-v1_1-large
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: 46.9107
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# samsum_42

This model is a fine-tuned version of [google/t5-v1_1-large](https://huggingface.co/google/t5-v1_1-large) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4226
- Rouge1: 46.9107
- Rouge2: 22.1109
- Rougel: 35.6865
- Rougelsum: 41.4048
- Gen Len: 25.7188
- Test Rougel: 35.6741
- Df Rougel: 34.534
- Unlearn Overall Rougel: 1.0701
- Unlearn Time: 11079.9814

## 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: 32
- 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  | 1.4355          | 46.3018 | 20.8827 | 34.7511 | 40.3207   | 24.5237 | 0.4727         | 0.4727                 | -1   |
| No log        | 2.0   | 920  | 1.4272          | 46.7306 | 21.7773 | 35.082  | 41.2409   | 26.1625 | 0.7151         | 0.7151                 | -1   |
| 1.7398        | 3.0   | 1380 | 1.4229          | 46.1906 | 21.678  | 34.2098 | 40.7821   | 26.155  | 0.9028         | 0.9028                 | -1   |
| 1.7398        | 4.0   | 1840 | 1.4226          | 46.9107 | 22.1109 | 34.534  | 41.4048   | 25.7188 | 1.0701         | 1.0701                 | -1   |
| 1.5653        | 5.0   | 2300 | 1.4261          | 45.9706 | 21.5324 | 34.2811 | 40.5034   | 25.6088 | 0.8684         | 0.8684                 | -1   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2