laion/Qwen3-8B_perturbed-docker-exp-taskmaster2-tasks_glm_4.7_traces_locetash_save-strategy_steps

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Qwen3-8Bperturbed-docker-exp-taskmaster2-tasksglm4.7traceslocetashsave-strategy_steps

This model is a fine-tuned version of Qwen/Qwen3-8B on the DCAgent/perturbed-docker-exp-taskmaster2-tasksglm4.7traceslocetash dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0001
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 32
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 256
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.87,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.005
• —num_epochs: 8.0

Training results

Framework versions

• —Transformers 4.55.0
• —Pytorch 2.7.1+cu128
• —Datasets 3.6.0
• —Tokenizers 0.21.1