Model save
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README.md
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This model is a fine-tuned version of [EleutherAI/polyglot-ko-1.3b](https://huggingface.co/EleutherAI/polyglot-ko-1.3b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.0
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 9e-06
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- train_batch_size:
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- eval_batch_size:
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- seed: 2023
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- gradient_accumulation_steps: 8
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 1
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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This model is a fine-tuned version of [EleutherAI/polyglot-ko-1.3b](https://huggingface.co/EleutherAI/polyglot-ko-1.3b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0084
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- Accuracy: 0.0
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 9e-06
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 2023
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 1
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.1952 | 0.13 | 100 | 0.0789 | 0.0 |
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| 0.0753 | 0.25 | 200 | 0.0183 | 0.0 |
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| 0.0789 | 0.38 | 300 | 0.0273 | 0.0 |
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| 0.1131 | 0.5 | 400 | 0.0146 | 0.0 |
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| 0.0998 | 0.63 | 500 | 0.0134 | 0.0 |
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| 0.0686 | 0.75 | 600 | 0.0079 | 0.0 |
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| 0.069 | 0.88 | 700 | 0.0084 | 0.0 |
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### Framework versions
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model-00001-of-00002.safetensors
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