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codet5-small-java-v1-text-to-code

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

  • Loss: 0.7705
  • Rouge1: 57.1969
  • Rouge2: 40.0098
  • Rougel: 55.326
  • Rougelsum: 56.119
  • Gen Len: 16.8335

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.7434 1.0 6250 0.8148 55.9045 38.592 54.0278 54.7633 16.796
0.6708 2.0 12500 0.7868 56.3354 38.9843 54.5278 55.2197 16.751
0.6309 3.0 18750 0.7741 56.9883 39.8626 55.1321 55.9173 16.8495
0.6262 4.0 25000 0.7705 57.1969 40.0098 55.326 56.119 16.8335

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Dataset used to train ayeshgk/codet5-small-java-v1-text-to-code

Evaluation results