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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: ko-jeolla-nmt-v2
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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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# ko-jeolla-nmt-v2
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This model is a fine-tuned version of [leadawon/ko-jeolla-nmt-v1](https://huggingface.co/leadawon/ko-jeolla-nmt-v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2911
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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: 5e-05
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- train_batch_size: 24
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- eval_batch_size: 24
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 96
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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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 |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.2926 | 0.17 | 500 | 0.3283 |
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| 0.3111 | 0.33 | 1000 | 0.3344 |
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| 0.3009 | 0.5 | 1500 | 0.3138 |
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| 0.2868 | 0.66 | 2000 | 0.3030 |
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| 0.2653 | 0.83 | 2500 | 0.2969 |
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| 0.2493 | 0.99 | 3000 | 0.2911 |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.13.1+cu116
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- Tokenizers 0.13.2
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