andstor/Qwen-Qwen2.5-Coder-14B-unit-test-fine-tuning

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output

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-14B on the andstor/methods2test_small fm+fc+c+m+f+t+tc dataset. It achieves the following results on the evaluation set:

• —Loss: 0.8498
• —Accuracy: 0.6331

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: 5e-05
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 4
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.56.2
• —Pytorch 2.8.0+cu128
• —Datasets 4.1.1
• —Tokenizers 0.22.1