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opus-tatoeba-en-ja-finetuned-eng-to-jpn_Hani
This model is a fine-tuned version of 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
