llama-3-8b-finetuned-turkish-instructions
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on 3641 Turkish instructions in the aya_dataset.
Training procedure
This model is fine-tuned using QloRA and SFT.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for mohammedbriman/llama-3-8b-finetuned-turkish-instructions
Base model
meta-llama/Meta-Llama-3-8B