Model Overview

This model, exp_tas_timeout_multiplier_1_0_traces, is an 8 billion parameter language model derived from the Qwen/Qwen3-8B architecture. It has undergone fine-tuning on the specific DCAgent/exp_tas_timeout_multiplier_1.0_traces dataset.

Training Details

The fine-tuning process utilized the following key hyperparameters:

• Learning Rate: 4e-05
• Batch Size: 1 (train), 8 (eval)
• Gradient Accumulation: 2 steps, leading to a total effective training batch size of 16
• Optimizer: AdamW_Torch_Fused with betas=(0.9, 0.98) and epsilon=1e-08
• LR Scheduler: Cosine type with a warmup ratio of 0.1
• Epochs: 7.0

Potential Use Cases

Given its fine-tuning on the DCAgent/exp_tas_timeout_multiplier_1.0_traces dataset, this model is likely best suited for applications that involve:

• Analyzing or generating content related to trace data.
• Tasks involving timeout multiplier configurations or similar experimental parameters.

Further details on specific intended uses and limitations would require more information about the DCAgent/exp_tas_timeout_multiplier_1.0_traces dataset itself.