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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-duplicate-answer |
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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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# reward-gpt-duplicate-answer |
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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: 0.0115 |
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- Accuracy: 0.5 |
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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: 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 results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.1975 | 0.13 | 100 | 0.0475 | 0.0 | |
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| 0.0945 | 0.25 | 200 | 0.0329 | 0.0 | |
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| 0.0739 | 0.38 | 300 | 0.0156 | 0.0 | |
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| 0.1354 | 0.5 | 400 | 0.0230 | 0.5 | |
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| 0.1114 | 0.63 | 500 | 0.0260 | 0.5 | |
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| 0.0688 | 0.75 | 600 | 0.0119 | 0.5 | |
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| 0.0744 | 0.88 | 700 | 0.0115 | 0.5 | |
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### Framework versions |
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- Transformers 4.35.0 |
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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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