---
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: 41.497
---

<!-- 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: 1.7509
- Rouge1: 41.497
- Rouge2: 21.2823
- Rougel: 36.4325
- Rougelsum: 38.3568
- Gen Len: 12.3166
- Test Rougel: 36.4325
- Df Rougel: 35.9553
- Unlearn Overall Rougel: 0.7386
- Unlearn Time: 500.4764

## 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: 8
- 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   | 28   | 1.5108          | 48.53   | 24.364  | 41.2958 | 44.6482   | 21.4866 | 0.1667         | 0.1667                 | -1   |
| No log        | 2.0   | 56   | 1.5695          | 45.176  | 23.127  | 39.3251 | 41.7401   | 15.7861 | 0.3573         | 0.3573                 | -1   |
| No log        | 3.0   | 84   | 1.7509          | 41.497  | 21.2823 | 35.9553 | 38.3568   | 12.3166 | 0.7386         | 0.7386                 | -1   |
| No log        | 4.0   | 112  | 1.9471          | 39.8092 | 20.0595 | 35.3111 | 36.7419   | 11.5990 | 0.3230         | 0.3230                 | -1   |
| No log        | 5.0   | 140  | 2.0325          | 39.3494 | 19.7165 | 34.6824 | 36.3139   | 11.4156 | 0.4877         | 0.4877                 | -1   |


### Framework versions

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