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ShacharNar/qwen2.5_coder_3b_probgate_schema_aware_finetuned_only_answerable

sourceHugging Faceotherupdated 1y agoView on Hugging Face
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Model Card

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qwen2.5coder3bprobgateschemaawarefinetunedonlyanswerable

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-3B on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0360

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
  • optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 3
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
No log001.1655
0.02941.046740.0353
0.022.093480.0341
0.01533.0140220.0360

Framework versions

  • Transformers 4.48.0
  • Pytorch 2.7.1+cu126
  • Datasets 3.2.0
  • Tokenizers 0.21.0