---
license: apache-2.0
base_model: google-t5/t5-base
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-question-answer-summarization
  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-question-answer-summarization

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: 0.1424
- Rouge1: 85.4974
- Rouge2: 77.0571
- Rougel: 82.4125
- Rougelsum: 82.4757

## 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  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 0.3381        | 1.0   | 526  | 0.1310          | 85.4136 | 77.2307 | 82.5493 | 82.5887   |
| 0.1221        | 2.0   | 1052 | 0.1291          | 85.5109 | 77.3495 | 82.5035 | 82.5448   |
| 0.1008        | 3.0   | 1578 | 0.1293          | 85.7918 | 77.3841 | 82.5218 | 82.5855   |
| 0.0861        | 4.0   | 2104 | 0.1312          | 85.8164 | 77.5711 | 82.5025 | 82.5955   |
| 0.075         | 5.0   | 2630 | 0.1358          | 85.769  | 77.3766 | 82.6532 | 82.691    |
| 0.069         | 6.0   | 3156 | 0.1361          | 85.417  | 76.9087 | 82.397  | 82.4857   |
| 0.0625        | 7.0   | 3682 | 0.1404          | 85.5539 | 77.0784 | 82.4147 | 82.445    |
| 0.0595        | 8.0   | 4208 | 0.1424          | 85.4974 | 77.0571 | 82.4125 | 82.4757   |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1