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llama-3-8b-finetuned-turkish-instructions

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metadata
license: other
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
datasets:
  - generator
model-index:
  - name: llama-3-8b-finetuned-turkish-instructions
    results: []

Visualize in Weights & Biases

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