---
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: 0.2901
---

<!-- 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: 290.3438
- Rouge1: 0.2901
- Rouge2: 0.0
- Rougel: 0.294
- Rougelsum: 0.2889
- Gen Len: 2.0
- Test Rougel: 0.294
- Df Rougel: 0.2241
- Unlearn Overall Rougel: 0.5350
- Unlearn Time: 1103.6610

## 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: 8
- 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   | 110  | 2.4633          | 19.9456 | 10.1732 | 18.2153 | 18.7859   | 7.7370  | 0.4185         | 0.4185                 | -1   |
| No log        | 2.0   | 220  | 165.9415        | 0.3318  | 0.0     | 0.2978  | 0.3277    | 2.0052  | 0.5184         | 0.5184                 | -1   |
| No log        | 3.0   | 330  | 290.3438        | 0.2901  | 0.0     | 0.2241  | 0.2889    | 2.0     | 0.5350         | 0.5350                 | -1   |
| No log        | 4.0   | 440  | 343.0455        | 0.2678  | 0.0     | 0.2125  | 0.2684    | 2.0     | 0.5295         | 0.5295                 | -1   |
| No log        | 5.0   | 550  | 352.4384        | 0.2678  | 0.0     | 0.2125  | 0.2684    | 2.0     | 0.5295         | 0.5295                 | -1   |


### Framework versions

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