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-150
  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-150

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: 2.7259
- Rouge1: 13.9233
- Rouge2: 1.4637
- Rougel: 7.7275
- Rougelsum: 11.0078
- Gen Len: 3138.9

## 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   | 3.6662          | 13.7115 | 1.4711 | 7.3306 | 11.3636   | 5309.5  |
| No log        | 2.0   | 160  | 3.2213          | 14.6314 | 1.7968 | 7.4991 | 11.9019   | 4975.8  |
| No log        | 3.0   | 240  | 2.9746          | 14.628  | 1.6945 | 7.9077 | 11.4463   | 3886.6  |
| No log        | 4.0   | 320  | 2.8153          | 13.9751 | 1.659  | 8.0324 | 11.3707   | 3328.4  |
| No log        | 5.0   | 400  | 2.7259          | 13.9233 | 1.4637 | 7.7275 | 11.0078   | 3138.9  |


### Framework versions

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