transformers pytorch tensorboard safetensors mbart text2text-generation generated_from_trainer license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-japanese-tobyoki-pairwise
  results: []
---

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# 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: 3.5252
- Rouge1: 11.814
- Rouge2: 1.7965
- Rougel: 8.0177
- Rougelsum: 9.7342
- Gen Len: 50.4446

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
| 0.2994        | 1.0   | 4332  | 2.7883          | 11.1611 | 1.7768 | 7.5158 | 9.6222    | 55.0633 |
| 0.1513        | 2.0   | 8664  | 3.1286          | 13.7182 | 2.311  | 9.1726 | 11.5058   | 57.3528 |
| 0.0778        | 3.0   | 12996 | 3.3238          | 12.1173 | 1.88   | 8.1156 | 10.1187   | 48.7089 |
| 0.056         | 4.0   | 17328 | 3.4032          | 11.9555 | 2.0536 | 8.2185 | 10.0656   | 50.7373 |
| 0.0364        | 5.0   | 21660 | 3.5252          | 11.814  | 1.7965 | 8.0177 | 9.7342    | 50.4446 |


### Framework versions

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