---
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_2data
  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_2data

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: 2.5658
- Rouge1: 0.0429
- Rouge2: 0.0057
- Rougel: 0.0429
- Rougelsum: 0.0429
- Gen Len: 15.1213

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.3575        | 1.0   | 5704  | 2.6953          | 0.0388 | 0.0054 | 0.0387 | 0.0386    | 14.791  |
| 3.2388        | 2.0   | 11408 | 2.6126          | 0.0404 | 0.0052 | 0.0403 | 0.0403    | 14.9236 |
| 3.1827        | 3.0   | 17112 | 2.5780          | 0.0425 | 0.0055 | 0.0424 | 0.0424    | 14.9523 |
| 3.1688        | 4.0   | 22816 | 2.5658          | 0.0429 | 0.0057 | 0.0429 | 0.0429    | 15.1213 |


### Framework versions

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