---
license: apache-2.0
base_model: Helsinki-NLP/opus-tatoeba-en-ja
tags:
- generated_from_trainer
datasets:
- tatoeba_mt
metrics:
- bleu
model-index:
- name: opus-tatoeba-en-ja-finetuned-eng-to-jpn_Hani
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: tatoeba_mt
      type: tatoeba_mt
      config: eng-jpn_Hani
      split: test
      args: eng-jpn_Hani
    metrics:
    - name: Bleu
      type: bleu
      value: 0.0
---

<!-- 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. -->

# opus-tatoeba-en-ja-finetuned-eng-to-jpn_Hani

This model is a fine-tuned version of [Helsinki-NLP/opus-tatoeba-en-ja](https://huggingface.co/Helsinki-NLP/opus-tatoeba-en-ja) on the tatoeba_mt dataset.
It achieves the following results on the evaluation set:
- Loss: 6.4742
- Bleu: 0.0
- Gen Len: 18.9426

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:----:|:-------:|
| 6.4645        | 1.0   | 1244 | 6.4742          | 0.0  | 18.9426 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3