This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the asynchowpythoncodeminutes dataset. It achieves the following results on the evaluation set: The following hyperparameters were used during training: - learningrate: 1e-05 - trainbatchsize: 1 - evalbatchsize: 1 - distributedtype: multi-GPU - gradientaccumulationsteps: 8 - totaltrainbatchsize: 8 - lrschedulertype: cosine - lrschedulerwarmupratio: 0.05 - numepochs: 2.0 - Transformers 4.57.6 - Pytorch 2.11.0+cu130 - Datasets 4.0.0 - Tokenizers 0.22.2
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