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--- |
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license: other |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: beomi/gemma-ko-7b |
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model-index: |
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- name: gemma7_on_korean_events |
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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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# gemma7_on_korean_events |
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This model is a fine-tuned version of [beomi/gemma-ko-7b](https://huggingface.co/beomi/gemma-ko-7b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5534 |
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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: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 5 |
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- total_train_batch_size: 10 |
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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_steps: 50 |
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- training_steps: 760 |
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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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| 1.0063 | 0.2632 | 20 | 0.6860 | |
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| 0.4681 | 0.5263 | 40 | 0.3754 | |
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| 0.3565 | 0.7895 | 60 | 0.3030 | |
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| 0.2872 | 1.0526 | 80 | 0.2880 | |
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| 0.2557 | 1.3158 | 100 | 0.2723 | |
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| 0.2213 | 1.5789 | 120 | 0.2674 | |
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| 0.2386 | 1.8421 | 140 | 0.2537 | |
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| 0.1885 | 2.1053 | 160 | 0.3032 | |
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| 0.1362 | 2.3684 | 180 | 0.2710 | |
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| 0.131 | 2.6316 | 200 | 0.2844 | |
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| 0.1366 | 2.8947 | 220 | 0.2626 | |
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| 0.0935 | 3.1579 | 240 | 0.3632 | |
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| 0.0618 | 3.4211 | 260 | 0.3315 | |
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| 0.0672 | 3.6842 | 280 | 0.3255 | |
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| 0.0684 | 3.9474 | 300 | 0.3238 | |
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| 0.0393 | 4.2105 | 320 | 0.4230 | |
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| 0.0311 | 4.4737 | 340 | 0.4180 | |
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| 0.0337 | 4.7368 | 360 | 0.3933 | |
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| 0.0402 | 5.0 | 380 | 0.3846 | |
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| 0.0179 | 5.2632 | 400 | 0.4478 | |
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| 0.0176 | 5.5263 | 420 | 0.4464 | |
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| 0.0274 | 5.7895 | 440 | 0.4003 | |
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| 0.017 | 6.0526 | 460 | 0.4284 | |
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| 0.0112 | 6.3158 | 480 | 0.4675 | |
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| 0.0107 | 6.5789 | 500 | 0.4715 | |
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| 0.0115 | 6.8421 | 520 | 0.4911 | |
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| 0.0107 | 7.1053 | 540 | 0.4776 | |
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| 0.0053 | 7.3684 | 560 | 0.4829 | |
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| 0.0049 | 7.6316 | 580 | 0.4962 | |
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| 0.0046 | 7.8947 | 600 | 0.5087 | |
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| 0.0039 | 8.1579 | 620 | 0.5240 | |
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| 0.0028 | 8.4211 | 640 | 0.5317 | |
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| 0.0035 | 8.6842 | 660 | 0.5351 | |
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| 0.0034 | 8.9474 | 680 | 0.5393 | |
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| 0.0013 | 9.2105 | 700 | 0.5445 | |
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| 0.0031 | 9.4737 | 720 | 0.5502 | |
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| 0.0018 | 9.7368 | 740 | 0.5523 | |
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| 0.002 | 10.0 | 760 | 0.5534 | |
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### Framework versions |
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- PEFT 0.11.2.dev0 |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.19.1 |
