---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-japanese-tobyoki-pairwise
  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. -->

# bart-base-japanese-tobyoki-pairwise

This model is a fine-tuned version of [ku-nlp/bart-base-japanese](https://huggingface.co/ku-nlp/bart-base-japanese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3352
- Rouge1: 2.9535
- Rouge2: 0.589
- Rougel: 2.0958
- Rougelsum: 2.7622
- Gen Len: 15.7896

## 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: 3e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.9659        | 1.0   | 4332  | 2.3037          | 1.596  | 0.3213 | 1.1975 | 1.4562    | 8.4066  |
| 1.555         | 2.0   | 8664  | 2.2936          | 3.1408 | 0.6522 | 2.3125 | 2.982     | 12.3861 |
| 1.3883        | 3.0   | 12996 | 2.3163          | 2.6939 | 0.5669 | 1.9944 | 2.6112    | 11.1440 |
| 1.2592        | 4.0   | 17328 | 2.3362          | 2.3473 | 0.4205 | 1.6502 | 2.2055    | 12.8228 |
| 1.2024        | 5.0   | 21660 | 2.3352          | 2.9535 | 0.589  | 2.0958 | 2.7622    | 15.7896 |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.0.1+cu117
- Datasets 2.17.1
- Tokenizers 0.13.3