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anithra/code-assistant-py-java2

sourceHugging Faceapache-2.0updated 10mo agoView on Hugging Face
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Model Card

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code-assistant-py-java2

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: 0.2914

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: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 15
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.97581.0410.6294
0.59642.0820.4193
0.41723.01230.3718
0.48994.01640.3431
0.39845.02050.3274
0.24696.02460.3141
0.27227.02870.3135
0.30218.03280.3052
0.2039.03690.3035
0.194810.04100.3049
0.184311.04510.2965
0.148912.04920.2889
0.127913.05330.2921
0.192314.05740.2919
0.182915.06150.2914

Framework versions

  • —Transformers 4.57.3
  • —Pytorch 2.9.0+cu126
  • —Datasets 4.4.1
  • —Tokenizers 0.22.1