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Azirqui/codet5-python-summarizer-v3

sourceHugging Faceapache-2.0updated 7mo agoView on Hugging Face
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codet5-python-summarizer-v3

This model is a fine-tuned version of Salesforce/codet5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0107
  • Rouge1: 0.9856
  • Rouge2: 0.9796
  • Rougel: 0.9856
  • Rougelsum: 0.9856

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: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 3
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsum
0.02981.012300.01460.98120.97410.98110.9812
0.01532.024600.01160.98550.97940.98550.9854
0.02363.036900.01070.98560.97960.98560.9856

Framework versions

  • PEFT 0.18.1
  • Transformers 4.44.2
  • Pytorch 2.10.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.19.1