---
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: 50.8056
---

<!-- 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: 1.4591
- Rouge1: 50.8056
- Rouge2: 27.2825
- Rougel: 42.3835
- Rougelsum: 47.2015
- Gen Len: 26.3814

## 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: 5e-05
- train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 921  | 1.7107          | 49.4859 | 25.6708 | 40.6695 | 45.4657   | 29.0733 |
| 3.053         | 2.0   | 1842 | 1.4591          | 50.8056 | 27.2825 | 42.3835 | 47.2015   | 26.3814 |
| 1.8078        | 3.0   | 2763 | 1.4260          | 47.4424 | 24.5737 | 38.5731 | 43.77     | 24.5098 |
| 1.6115        | 4.0   | 3684 | 1.4194          | 47.6099 | 24.4291 | 38.6691 | 43.651    | 24.7213 |
| 1.5189        | 5.0   | 4605 | 1.4182          | 47.9053 | 25.0788 | 39.0674 | 43.9306   | 25.1626 |


### Framework versions

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