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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: EleutherAI/polyglot-ko-1.3b
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: reward-gpt
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+ results: []
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+ ---
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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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+
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+ # reward-gpt
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+
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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: 0.0000
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+ - Accuracy: 0.5
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 2023
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 64
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.0554 | 0.16 | 100 | 0.0000 | 0.5 |
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+ | 0.0356 | 0.33 | 200 | 0.0000 | 0.5 |
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+ | 0.0741 | 0.49 | 300 | 0.0000 | 0.0 |
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+ | 0.0399 | 0.65 | 400 | 0.0000 | 0.0 |
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+ | 0.0307 | 0.81 | 500 | 0.0000 | 0.5 |
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+ | 0.0331 | 0.98 | 600 | 0.0000 | 0.5 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.1
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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