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

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: 2.0850
- Rouge1: 15.3454
- Rouge2: 2.9489
- Rougel: 10.7691
- Rougelsum: 12.7028
- Gen Len: 66.075

## 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: 5e-05
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.1701        | 1.0   | 717  | 1.9507          | 12.6467 | 2.901  | 10.0035 | 11.1471   | 47.7375 |
| 1.4042        | 2.0   | 1434 | 1.9519          | 11.9515 | 3.096  | 10.2259 | 10.8478   | 21.1375 |
| 0.8952        | 3.0   | 2151 | 2.0323          | 15.5721 | 3.5875 | 10.6382 | 12.9346   | 76.35   |
| 0.7489        | 4.0   | 2868 | 2.0724          | 15.5769 | 3.3042 | 11.0176 | 12.8107   | 63.7625 |
| 0.5941        | 5.0   | 3585 | 2.0850          | 15.3454 | 2.9489 | 10.7691 | 12.7028   | 66.075  |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3