---
license: apache-2.0
base_model: google-t5/t5-base
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-finetuned-qmsum
  results: []
---

<!-- 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. -->

# t5-base-finetuned-qmsum

This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1567
- Rouge1: 28.3882
- Rouge2: 8.4191
- Rougel: 22.8604

## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|
| 3.5399        | 1.0   | 126  | 3.2929          | 27.9871 | 8.2442 | 23.2939 |
| 3.1401        | 2.0   | 252  | 3.2076          | 27.7588 | 7.6926 | 22.8498 |
| 2.9706        | 3.0   | 378  | 3.1678          | 28.9533 | 8.4516 | 23.4899 |
| 2.8244        | 4.0   | 504  | 3.1509          | 28.274  | 8.0721 | 22.897  |
| 2.7238        | 5.0   | 630  | 3.1472          | 27.9718 | 8.26   | 22.7717 |
| 2.6687        | 6.0   | 756  | 3.1513          | 28.3972 | 8.4436 | 22.9446 |
| 2.5844        | 7.0   | 882  | 3.1554          | 28.6233 | 8.5011 | 23.1638 |
| 2.5715        | 8.0   | 1008 | 3.1567          | 28.3882 | 8.4191 | 22.8604 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1