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-large-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-large-japanese-RMT-tobyoki-20

This model is a fine-tuned version of [ku-nlp/bart-large-japanese](https://huggingface.co/ku-nlp/bart-large-japanese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4333
- Rouge1: 10.4455
- Rouge2: 0.9997
- Rougel: 7.6259
- Rougelsum: 9.0518
- Gen Len: 2098.2

## 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: 2
- eval_batch_size: 2
- 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   | 40   | 3.1809          | 9.7012  | 1.3824 | 6.3532 | 8.4445    | 3000.0  |
| No log        | 2.0   | 80   | 2.8693          | 11.308  | 1.6656 | 6.9919 | 9.8495    | 2980.5  |
| No log        | 3.0   | 120  | 2.6873          | 11.7005 | 1.6944 | 7.3988 | 10.0862   | 2702.3  |
| No log        | 4.0   | 160  | 2.5541          | 10.815  | 1.2578 | 7.4659 | 9.1837    | 2275.6  |
| No log        | 5.0   | 200  | 2.4785          | 10.5975 | 1.0925 | 7.6191 | 9.357     | 2157.6  |
| No log        | 6.0   | 240  | 2.4333          | 10.4455 | 0.9997 | 7.6259 | 9.0518    | 2098.2  |


### Framework versions

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