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--- |
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base_model: Bllossom/llama-3.2-Korean-Bllossom-AICA-5B |
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library_name: peft |
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license: llama3.2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: HGU_rulebook-Llama3.2-Bllossom-5B_fine-tuning-QLoRA-32_64_3 |
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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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# HGU_rulebook-Llama3.2-Bllossom-5B_fine-tuning-QLoRA-32_64_3 |
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This model is a fine-tuned version of [Bllossom/llama-3.2-Korean-Bllossom-AICA-5B](https://huggingface.co/Bllossom/llama-3.2-Korean-Bllossom-AICA-5B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.6952 |
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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: 1e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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: Use adamw_bnb_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 942 |
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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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| 12.459 | 0.2991 | 47 | 11.8428 | |
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| 8.9527 | 0.5982 | 94 | 8.3608 | |
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| 6.8438 | 0.8974 | 141 | 6.6652 | |
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| 6.1272 | 1.1965 | 188 | 6.0176 | |
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| 5.858 | 1.4956 | 235 | 5.8316 | |
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| 5.7707 | 1.7947 | 282 | 5.7618 | |
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| 5.7435 | 2.0939 | 329 | 5.7331 | |
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| 5.7215 | 2.3930 | 376 | 5.7194 | |
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| 5.7118 | 2.6921 | 423 | 5.7114 | |
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| 5.7047 | 2.9912 | 470 | 5.7063 | |
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| 5.703 | 3.2904 | 517 | 5.7027 | |
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| 5.6973 | 3.5895 | 564 | 5.7001 | |
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| 5.6959 | 3.8886 | 611 | 5.6985 | |
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| 5.6921 | 4.1877 | 658 | 5.6972 | |
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| 5.6968 | 4.4869 | 705 | 5.6965 | |
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| 5.6954 | 4.7860 | 752 | 5.6959 | |
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| 5.6958 | 5.0851 | 799 | 5.6955 | |
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| 5.6937 | 5.3842 | 846 | 5.6953 | |
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| 5.6915 | 5.6834 | 893 | 5.6952 | |
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| 5.6951 | 5.9825 | 940 | 5.6952 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.46.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 3.0.0 |
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- Tokenizers 0.20.1 |
