armv8mac_to_x86_qwen25coder_0p5b_full

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armv8mac_to_x86_qwen25coder_0p5b_full

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-0.5B-Instruct on the armv8mac_to_x86_000, the armv8mac_to_x86_001, the armv8mac_to_x86_002, the armv8mac_to_x86_003, the armv8mac_to_x86_004, the armv8mac_to_x86_005 and the armv8mac_to_x86_006 datasets.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 8
• total_train_batch_size: 8
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 0.5

Training results

Framework versions

• Transformers 4.46.1
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3