adpretko/armv8_to_riscv_qwen25coder_1p5b_full

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armv8toriscvqwen25coder1p5b_full

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-1.5B-Instruct on the armv8toriscv000, the armv8toriscv001, the armv8toriscv002, the armv8toriscv003, the armv8toriscv004, the armv8toriscv005 and the armv8toriscv_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
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 8
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_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