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--- |
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base_model: beomi/llama-2-ko-7b |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Llama2-ko-7b-finetune-v2 |
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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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# Llama2-ko-7b-finetune-v2 |
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This model is a fine-tuned version of [beomi/llama-2-ko-7b](https://huggingface.co/beomi/llama-2-ko-7b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5327 |
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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: 0.0003 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 300 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.4901 | 0.22 | 100 | 1.5910 | |
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| 1.5736 | 0.44 | 200 | 1.5476 | |
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| 1.4611 | 0.66 | 300 | 1.5327 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.3 |
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