Model Overview

DCAgent/a1-nemotron_bash_withtests_gpt5mini is an 8 billion parameter language model, fine-tuned from the Qwen/Qwen3-8B architecture. This model has been specialized through fine-tuning on a unique dataset, /e/scratch/jureap59/raoof1/sft_data/hf_hub/datasets--DCAgent--exp_rpt_nemotron-bash-withtests-gpt5mini_glm_4.7_traces_jupiter/snapshots/2b382d4f2b58dcd58a2a90c31203ccf2063bf064_thinking_preprocessed, which focuses on bash scripting with integrated tests.

Key Training Details

The model underwent a fine-tuning process with specific hyperparameters:

• Learning Rate: 4e-05
• Batch Size: A total training batch size of 16 (1 per device across 16 devices)
• Optimizer: ADAMW_TORCH_FUSED with betas=(0.9, 0.98) and epsilon=1e-08
• Scheduler: Cosine learning rate scheduler with a 0.1 warmup ratio
• Epochs: Trained for 7.0 epochs

Intended Use Cases

While specific intended uses and limitations require further information, based on its training data, this model is likely optimized for:

• Generating bash scripts that include testing procedures.
• Assisting in the development and debugging of shell scripts.
• Understanding and processing natural language requests related to bash commands and their verification.