• Model creator: https://huggingface.co/ahmedheakl/
• Original model: https://huggingface.co/ahmedheakl/qwen2.5_0.5b_llamafac_130k-stack/

Original model description:

• llama-factory
• full
• generated_from_trainer model-index:
• name: qwen2.5_0.5b_llamafac_130k-stack results: []

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qwen2.5_0.5b_llamafac_130k-stack

• Loss: 0.0068

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 0.0002
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• total_eval_batch_size: 4
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.46.1
• Pytorch 2.5.1+cu124
• Datasets 3.1.0
• Tokenizers 0.20.3