metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ja-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: ruby-rails-fine-tuned-ja-en
results: []
ruby-rails-fine-tuned-ja-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ja-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6632
- Bleu: 0.3309
- Chrf: 65.6928
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf |
|---|---|---|---|---|---|
| No log | 1.0 | 23 | 1.7526 | 0.3133 | 64.6743 |
| No log | 2.0 | 46 | 1.6831 | 0.3396 | 66.1705 |
| No log | 3.0 | 69 | 1.6632 | 0.3309 | 65.6928 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.6.0
- Datasets 3.5.0
- Tokenizers 0.13.3