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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: ks-chungcheong-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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# ks-chungcheong-nmt-v2 |
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This model is a fine-tuned version of [smile3634/ks-chungcheong-nmt-v1](https://huggingface.co/smile3634/ks-chungcheong-nmt-v1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2771 |
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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: 16 |
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- eval_batch_size: 16 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.8849 | 0.16 | 500 | 1.8573 | |
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| 1.7337 | 0.32 | 1000 | 1.6565 | |
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| 1.5085 | 0.49 | 1500 | 1.2008 | |
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| 1.1849 | 0.65 | 2000 | 0.8869 | |
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| 0.9535 | 0.81 | 2500 | 0.6806 | |
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| 0.8032 | 0.97 | 3000 | 0.5774 | |
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| 0.5472 | 1.13 | 3500 | 0.5094 | |
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| 0.4656 | 1.29 | 4000 | 0.4570 | |
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| 0.4269 | 1.46 | 4500 | 0.4286 | |
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| 0.3916 | 1.62 | 5000 | 0.4011 | |
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| 0.3564 | 1.78 | 5500 | 0.3676 | |
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| 0.3259 | 1.94 | 6000 | 0.3422 | |
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| 0.2513 | 2.1 | 6500 | 0.3312 | |
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| 0.2101 | 2.26 | 7000 | 0.3111 | |
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| 0.1991 | 2.43 | 7500 | 0.2985 | |
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| 0.1893 | 2.59 | 8000 | 0.2960 | |
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| 0.1774 | 2.75 | 8500 | 0.2823 | |
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| 0.1687 | 2.91 | 9000 | 0.2771 | |
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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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