mohammedbriman
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README.md
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/m-khalid/llama-3/runs/wohqdmk3)
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# llama-3-8b-finetuned-turkish-instructions
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the
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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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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 5
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### Training results
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### Framework versions
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- PEFT 0.10.1.dev0
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/m-khalid/llama-3/runs/wohqdmk3)
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# llama-3-8b-finetuned-turkish-instructions
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on Turkish instructions in the [aya_dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset).
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## Training procedure
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This model is fine-tuned using QloRA and SFT.
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### Training hyperparameters
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The following hyperparameters were used during training:
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 5
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### Framework versions
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- PEFT 0.10.1.dev0
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