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mBART_tokenizer_custom
This model is a fine-tuned version of facebook/mbart-large-50 on the 한국어 방언 발화(경상도) dataset from AI Hub. It achieves the following results on the evaluation set:
- Loss: 0.0045
- Bleu: 78.9009
- Gen Len: 20.5578
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.048 | 1.0 | 12500 | 0.0259 | 93.2721 | 22.2035 |
| 0.0251 | 2.0 | 25000 | 0.0106 | 87.1169 | 21.7826 |
| 0.0105 | 3.0 | 37500 | 0.0045 | 78.9009 | 20.5578 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
