---
license: apache-2.0
base_model: tsmatz/mt5_summarize_japanese
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Megagon_step3_tsmtz
  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. -->

# Megagon_step3_tsmtz

This model is a fine-tuned version of [tsmatz/mt5_summarize_japanese](https://huggingface.co/tsmatz/mt5_summarize_japanese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6120
- Rouge1: 0.1897
- Rouge2: 0.0766
- Rougel: 0.1897
- Rougelsum: 0.1916
- Gen Len: 9.5631

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 79   | 1.8495          | 0.1928 | 0.0738 | 0.1918 | 0.1949    | 9.536   |
| No log        | 2.0   | 158  | 1.7032          | 0.1975 | 0.0758 | 0.1978 | 0.2004    | 9.5586  |
| No log        | 3.0   | 237  | 1.6334          | 0.1883 | 0.0751 | 0.1882 | 0.1901    | 9.5315  |
| No log        | 4.0   | 316  | 1.6120          | 0.1897 | 0.0766 | 0.1897 | 0.1916    | 9.5631  |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1