pytorch tensorboard generated_from_trainer license:cc-by-sa-4.0 region:us
---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-japanese-RMT-tobyoki-20
  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-RMT-tobyoki-20

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: 2.7005
- Rouge1: 11.3587
- Rouge2: 1.08
- Rougel: 7.6075
- Rougelsum: 9.5106
- Gen Len: 3081.5

## 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: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 80   | 3.6825          | 13.5761 | 1.278  | 7.6282 | 11.0138   | 4290.4  |
| No log        | 2.0   | 160  | 3.2193          | 14.217  | 1.5027 | 7.9016 | 11.015    | 4244.5  |
| No log        | 3.0   | 240  | 2.9484          | 13.4372 | 1.312  | 8.0882 | 10.727    | 3350.9  |
| No log        | 4.0   | 320  | 2.7949          | 12.6469 | 0.9666 | 7.9801 | 10.0949   | 3331.2  |
| No log        | 5.0   | 400  | 2.7005          | 11.3587 | 1.08   | 7.6075 | 9.5106    | 3081.5  |


### Framework versions

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