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---
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
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