---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-japanese-RMT-tobyoki-200
  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-200

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: 2.6252
- Rouge1: 14.3358
- Rouge2: 2.1278
- Rougel: 8.3601
- Rougelsum: 11.4494
- Gen Len: 2374.4

## 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   | 3.6698          | 13.7458 | 1.641  | 7.2384 | 11.1015   | 5547.5  |
| No log        | 2.0   | 160  | 3.2062          | 14.8374 | 1.7608 | 7.8979 | 11.852    | 4605.2  |
| No log        | 3.0   | 240  | 2.9757          | 14.7957 | 1.6829 | 7.9807 | 11.6804   | 3442.6  |
| No log        | 4.0   | 320  | 2.8127          | 15.3153 | 1.9135 | 8.4994 | 11.9208   | 2844.8  |
| No log        | 5.0   | 400  | 2.7265          | 14.1003 | 1.9348 | 8.2344 | 11.1833   | 2497.4  |
| No log        | 6.0   | 480  | 2.6753          | 14.3802 | 2.1414 | 8.5996 | 11.1612   | 2340.6  |
| 3.2173        | 7.0   | 560  | 2.6252          | 14.3358 | 2.1278 | 8.3601 | 11.4494   | 2374.4  |


### Framework versions

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