---
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
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# 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