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--- |
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base_model: EleutherAI/polyglot-ko-12.8b |
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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: gridone-ko-llm-12.8b-v1.1c |
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results: [] |
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license: cc-by-nc-sa-4.0 |
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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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# gridone-ko-llm-12.8b-v1.1c |
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This model is a fine-tuned version of [EleutherAI/polyglot-ko-12.8b](https://huggingface.co/EleutherAI/polyglot-ko-12.8b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2510 |
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- Accuracy: 0.5584 |
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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: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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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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- num_epochs: 8 |
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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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| 1.8881 | 1.0 | 142 | 1.8030 | 0.5852 | |
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| 1.0326 | 2.0 | 284 | 1.9793 | 0.5737 | |
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| 0.2979 | 3.0 | 426 | 2.4751 | 0.5582 | |
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| 0.0966 | 4.0 | 568 | 2.7332 | 0.5603 | |
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| 0.0519 | 5.0 | 710 | 2.9102 | 0.5593 | |
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| 0.0211 | 6.0 | 852 | 3.0963 | 0.5566 | |
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| 0.0038 | 7.0 | 994 | 3.1967 | 0.5585 | |
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| 0.0028 | 8.0 | 1136 | 3.2510 | 0.5584 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
