---
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