secmlr/SWE-BENCH-2000-enriched-reasoning-claude-localization_deepcoder_14b_2000_enriched_reasoning

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SWE-BENCH-2000-enriched-reasoning-claude-localizationdeepcoder14b2000enriched_reasoning

This model is a fine-tuned version of agentica-org/DeepCoder-14B-Preview on the SWE-BENCH-2000-enriched-reasoning-claude-localization 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: 1e-05
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 12
• —totaltrainbatch_size: 48
• —totalevalbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.51.3
• —Pytorch 2.6.0+cu124
• —Datasets 3.1.0
• —Tokenizers 0.21.0