| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: mBART_tokenizer_custom |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # mBART_tokenizer_custom |
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|
| This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/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 |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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|
| ## Training and evaluation data |
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| More information needed |
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| ## Training procedure |
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| ### Training hyperparameters |
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| 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 |
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|
| | 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 | |
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| ### Framework versions |
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| - Transformers 4.22.2 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.5.1 |
| - Tokenizers 0.12.1 |
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|
