---
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: 3.236
---

<!-- 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-large](https://huggingface.co/google/t5-v1_1-large) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 87.1946
- Rouge1: 3.236
- Rouge2: 0.0575
- Rougel: 3.2242
- Rougelsum: 3.229
- Gen Len: 2.9648
- Test Rougel: 3.2242
- Df Rougel: 2.9036
- Unlearn Overall Rougel: 0.6603
- Unlearn Time: 2432.0397

## 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   | 73   | 1.6698          | 42.7849 | 20.7407 | 35.3727 | 39.589    | 19.8516 | 0.5366         | 0.5366                 | -1   |
| No log        | 2.0   | 146  | 7.5909          | 13.9304 | 3.6865  | 12.4648 | 13.2181   | 9.1979  | 0.4489         | 0.4489                 | -1   |
| No log        | 3.0   | 219  | 87.1946         | 3.236   | 0.0575  | 2.9036  | 3.229     | 2.9648  | 0.6603         | 0.6603                 | -1   |
| No log        | 4.0   | 292  | 144.7452        | 0.8156  | 0.0074  | 0.9739  | 0.8157    | 2.1211  | 0.4259         | 0.4259                 | -1   |
| No log        | 5.0   | 365  | 160.1003        | 0.6105  | 0.0     | 0.6594  | 0.6071    | 2.0378  | 0.4786         | 0.4786                 | -1   |


### Framework versions

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