laion/qwen3base-GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k

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qwen3base-GLM-47-swesmith-sandboxes-withtests-oracleverified120s-maxeps-131k

This model is a fine-tuned version of Qwen/Qwen3-8B-Base on the /data/cat/ws/befe330h-befe330h-otagent/huggingface/hub/datasets--DCAgent2--GLM-4.7-swesmith-sandboxes-withtests-oracleverified120s-maxeps-131k/snapshots/e209a88db18950c3ce4e72a45a6088561d99d1bfthinking_preprocessed 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: 4e-05
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 64
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 7.0

Training results

Framework versions

• —Transformers 4.57.6
• —Pytorch 2.9.0+cu128
• —Datasets 4.4.1
• —Tokenizers 0.22.2