metadata
license: cc-by-sa-4.0
base_model: staka/fugumt-en-ja
tags:
- generated_from_trainer
model-index:
- name: fugumt-en-ja-finetuned-en-to-ja-gt-2797388
results: []
fugumt-en-ja-finetuned-en-to-ja-gt-2797388
This model is a fine-tuned version of staka/fugumt-en-ja on the None dataset.
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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 1 | 57.0593 | 0.0 | 147.0 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.1.2+cu118
- Datasets 2.17.0
- Tokenizers 0.15.0