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---
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
|