laion/dev_set_part1_10k_glm_4_7_traces_jupiter_cleaned
The laion/dev_set_part1_10k_glm_4_7_traces_jupiter_cleaned model is an 8 billion parameter language model, fine-tuned from Qwen/Qwen3-8B. It was trained on the /data/cat/ws/befe330h-befe330h-otagent/huggingface/hub/datasets--DCAgent--dev_set_part1_10k_glm_4.7_traces_jupiter_cleaned dataset. This model is a specialized iteration of the Qwen3-8B architecture, with its specific differentiators and intended uses requiring further information.
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Model Overview
This model, laion/dev_set_part1_10k_glm_4_7_traces_jupiter_cleaned, is an 8 billion parameter language model. It is a fine-tuned version of the Qwen/Qwen3-8B architecture, indicating a foundation in a robust base model. The fine-tuning process utilized the /data/cat/ws/befe330h-befe330h-otagent/huggingface/hub/datasets--DCAgent--dev_set_part1_10k_glm_4.7_traces_jupiter_cleaned dataset.
Training Details
The model was trained with specific hyperparameters:
- Learning Rate: 4e-05
- Batch Size: 1 (train), 8 (eval)
- Gradient Accumulation: 2 steps
- Optimizer: AdamW_Torch_Fused with betas=(0.9, 0.98) and epsilon=1e-08
- LR Scheduler: Cosine type with a 0.1 warmup ratio
- Epochs: 7.0
Current Status
As of the provided information, further details regarding the model's specific description, intended uses, limitations, and training/evaluation data are needed. Developers should consult additional documentation or the model's maintainers for a comprehensive understanding of its capabilities and optimal application.