---
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: 0.2678
---

<!-- 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: 380.7704
- Rouge1: 0.2678
- Rouge2: 0.0
- Rougel: 0.2715
- Rougelsum: 0.2684
- Gen Len: 2.0
- Test Rougel: 0.2715
- Df Rougel: 0.259
- Unlearn Overall Rougel: 0.5062
- Unlearn Time: 1071.4580

## 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   | 147  | 91.4111         | 2.279  | 0.0328 | 2.5438 | 2.2783    | 2.7565  | 0.3691         | 0.3691                 | -1   |
| No log        | 2.0   | 294  | 313.6870        | 0.2756 | 0.0    | 0.3062 | 0.275     | 2.0     | 0.4863         | 0.4863                 | -1   |
| No log        | 3.0   | 441  | 380.7704        | 0.2678 | 0.0    | 0.259  | 0.2684    | 2.0     | 0.5062         | 0.5062                 | -1   |
| No log        | 4.0   | 588  | 414.6086        | 0.2184 | 0.0    | 0.2359 | 0.2196    | 2.0     | 0.4932         | 0.4932                 | -1   |
| No log        | 5.0   | 735  | 422.9209        | 0.2184 | 0.0    | 0.2359 | 0.2196    | 2.0     | 0.4932         | 0.4932                 | -1   |


### Framework versions

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