StringChaos/qwen32B_swesmith_r2eformatv2_r2e_rft-32b_32k-bz8_epoch2_lr1en5-v1

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qwen32Bswesmithr2eformatv2r2erft-32b32k-bz8epoch2_lr1en5-v1

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-32B-instruct on the SWE-smith-trajectories-R2E-v2 and the R2E-Gym/R2EGym-SFT-Trajectories datasets.

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: 8
• —totaltrainbatch_size: 8
• —totalevalbatch_size: 64
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 2.0

Training results

Framework versions

• —Transformers 4.51.3
• —Pytorch 2.6.0a0+df5bbc09d1.nv24.12
• —Datasets 3.5.0
• —Tokenizers 0.21.1