jiayicheng/mix760_3step_bc760
The jiayicheng/mix760_3step_bc760 model is an 8 billion parameter language model fine-tuned from Qwen/Qwen3-8B. This model was trained using a learning rate of 4e-05 over 7 epochs with a cosine learning rate scheduler. It is a specialized fine-tuned variant, though its specific primary differentiator and intended use cases require further information.
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Model Overview
This model, jiayicheng/mix760_3step_bc760, is an 8 billion parameter language model that has been fine-tuned from the base model Qwen/Qwen3-8B. The fine-tuning process utilized the sft_mixed760_official760 dataset.
Training Details
The model underwent 7 epochs of training with a learning rate of 4e-05. Key training hyperparameters included a train_batch_size of 1, gradient_accumulation_steps of 4, and an AdamW optimizer with specific beta and epsilon values. A cosine learning rate scheduler with a warmup ratio of 0.1 was employed. The training was distributed across 4 GPUs.
Capabilities & Use Cases
As a fine-tuned version of Qwen3-8B, this model is expected to inherit general language understanding and generation capabilities. However, the specific enhancements or specialized applications resulting from its fine-tuning on the sft_mixed760_official760 dataset are not detailed in the provided information. Users should consult further documentation for its intended uses and limitations.