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codet5-small-ft-v10

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: 0.6076
  • Rouge1: 64.7797
  • Rouge2: 49.8902
  • Rougel: 62.433
  • Rougelsum: 61.8109
  • Gen Len: 12.9286

Model description

More information needed

FORMAT

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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
No log 1.0 19 1.9088 54.5113 41.9981 53.7739 53.7474 12.3286
No log 2.0 38 1.1442 66.1136 56.2675 65.0547 64.8304 12.4857
No log 3.0 57 0.6821 67.6198 52.8142 64.9905 64.3787 13.3429
No log 4.0 76 0.6076 64.7797 49.8902 62.433 61.8109 12.9286

Framework versions

  • Transformers 4.38.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1
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