Overview

This model, laion/dev_set_part1_10k_glm_4_7_traces_jupiter, is an 8 billion parameter language model derived from the Qwen/Qwen3-8B architecture. It has been specifically fine-tuned on a unique dataset located at /data/cat/ws/befe330h-befe330h-otagent/huggingface/hub/datasets--DCAgent--dev_set_part1_10k_glm_4.7_traces_jupiter/snapshots/f1871d1c1446b3b43cbfe2737d0df56cecf3f420_thinking_preprocessed.

Training Details

The fine-tuning process involved several key hyperparameters:

• Learning Rate: 4e-05
• Batch Size: 1 (train), 8 (eval)
• Gradient Accumulation: 2 steps, leading to a total effective batch size of 16
• Optimizer: ADAMW_TORCH_FUSED with specific beta and epsilon values
• Scheduler: Cosine learning rate scheduler with a 0.1 warmup ratio
• Epochs: 7.0

Intended Use

While specific intended uses and limitations require further information, its fine-tuning on a specialized dataset suggests it is optimized for tasks related to the nature of that data. Developers should consider the origin and specific training data when evaluating its suitability for their applications.