DCAgent/a1-ghactions
DCAgent/a1-ghactions is a fine-tuned version of Qwen/Qwen3-8B, an 8 billion parameter causal language model. This model was specifically trained on the /e/scratch/jureap59/raoof1/sft_data/hf_hub/datasets--DCAgent--exp_rpt_ghactions_glm_4.7_traces_jupiter/snapshots/640f8ad849fb18ab4a07eb41d7a469a33c7811bf_thinking_preprocessed dataset. Its primary use case is expected to be related to tasks involving GitHub Actions, given its training data.
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Overview
DCAgent/a1-ghactions is a specialized language model derived from the Qwen/Qwen3-8B architecture. This model has undergone fine-tuning to adapt its capabilities for specific applications, particularly those related to GitHub Actions.
Key Capabilities
- Fine-tuned from Qwen3-8B: Leverages the foundational strengths of the 8 billion parameter Qwen3 model.
- Specialized Training Data: Trained on the
/e/scratch/jureap59/raoof1/sft_data/hf_hub/datasets--DCAgent--exp_rpt_ghactions_glm_4.7_traces_jupiter/snapshots/640f8ad849fb18ab4a07eb41d7a469a33c7811bf_thinking_preprocesseddataset, indicating a focus on GitHub Actions-related contexts.
Good for
- Applications requiring understanding or generation of content related to GitHub Actions.
- Tasks that can benefit from a model fine-tuned on specific operational traces and reports.
Training Details
The model was trained with a learning rate of 4e-05 over 7 epochs, utilizing a total batch size of 16 across 16 devices. The optimizer used was AdamW_Torch_Fused with a cosine learning rate scheduler and a warmup ratio of 0.1.