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--- |
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license: mit |
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base_model: yomilimi/Jeolla_encoder |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: Je_gyeongsang_test |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Je_gyeongsang_test |
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This model is a fine-tuned version of [yomilimi/Jeolla_encoder](https://huggingface.co./yomilimi/Jeolla_encoder) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0061 |
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- Bleu: 91.3211 |
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- Gen Len: 13.3556 |
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## 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: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
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| 0.008 | 1.0 | 12910 | 0.0073 | 91.096 | 13.3545 | |
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| 0.0062 | 2.0 | 25820 | 0.0064 | 91.3089 | 13.3544 | |
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| 0.0055 | 3.0 | 38730 | 0.0061 | 91.3211 | 13.3556 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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