Introduction of x86_to_riscv_qwen25coder_3p0b_full
Model Details of x86_to_riscv_qwen25coder_3p0b_full
x86_to_riscv_qwen25coder_3p0b_full
This model is a fine-tuned version of
Qwen/Qwen2.5-Coder-3B-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
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
Runs of adpretko x86_to_riscv_qwen25coder_3p0b_full on huggingface.co
17
Total runs
1
24-hour runs
1
3-day runs
3
7-day runs
9
30-day runs
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