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README.md
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---
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license: cc-by-nc-sa-4.0
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tags:
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- generated_from_trainer
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model-index:
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- name: gpt_16_5_5.6e-5_lp5_nb10
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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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# gpt_16_5_5.6e-5_lp5_nb10
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This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.0126
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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: 5.6e-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: 5.0
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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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| 3.1407 | 0.38 | 1000 | 4.0864 |
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| 3.1639 | 0.76 | 2000 | 4.0867 |
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| 2.87 | 1.13 | 3000 | 4.0611 |
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| 2.8591 | 1.51 | 4000 | 4.0315 |
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| 2.8866 | 1.89 | 5000 | 4.0079 |
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| 2.6146 | 2.27 | 6000 | 4.0153 |
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| 2.6576 | 2.64 | 7000 | 4.0021 |
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| 2.5361 | 3.02 | 8000 | 4.0106 |
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| 2.4552 | 3.4 | 9000 | 4.0137 |
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| 2.4595 | 3.78 | 10000 | 3.9967 |
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| 2.3286 | 4.15 | 11000 | 4.0204 |
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| 2.2805 | 4.53 | 12000 | 4.0154 |
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| 2.3098 | 4.91 | 13000 | 4.0126 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.9.0+cu102
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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