---
library_name: transformers
license: cc-by-sa-4.0
base_model: retrieva-jp/t5-base-medium
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Question_model_notitle
  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. -->

# Question_model_notitle

This model is a fine-tuned version of [retrieva-jp/t5-base-medium](https://huggingface.co/retrieva-jp/t5-base-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4010
- Rouge1: 0.0884
- Rouge2: 0.024
- Rougel: 0.0883
- Rougelsum: 0.0887
- Gen Len: 16.0081

## 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: 2e-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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.7738        | 1.0   | 7858  | 1.4773          | 0.0796 | 0.0215 | 0.0794 | 0.0799    | 16.2695 |
| 1.6313        | 2.0   | 15716 | 1.4103          | 0.0832 | 0.024  | 0.0828 | 0.0833    | 16.0633 |
| 1.6204        | 3.0   | 23574 | 1.4010          | 0.0884 | 0.024  | 0.0883 | 0.0887    | 16.0081 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1