This model is a fine-tuned version of Qwen/Qwen2.5-Coder-0.5B-Instruct on the x86_to_riscv_000, the x86_to_riscv_001, the x86_to_riscv_002, the x86_to_riscv_003, the x86_to_riscv_004, the x86_to_riscv_005 and the x86_to_riscv_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
