metadata
license: mit
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mBART_translator_kobart
results: []
mBART_translator_kobart
This model is a fine-tuned version of hyunwoongko/kobart on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7003
- Bleu: 45.4811
- Gen Len: 19.9289
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.9126 | 1.0 | 1912 | 1.3966 | 36.2687 | 19.9289 |
| 1.6918 | 2.0 | 3824 | 0.8254 | 43.7633 | 19.9289 |
| 1.3387 | 3.0 | 5736 | 0.7003 | 45.4811 | 19.9289 |
Framework versions
- Transformers 4.23.0
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.13.1