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codet5-small-v26

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: 0.1762
  • Bleu Score: 0.0007
  • Gen Len: 14.3657

Model description

Trained,

  • on: chathuranga-jayanath/context-5-finmath-times4j-html-mavendoxia-wro4j-guava-supercsv-balanced-10k-prompt-1

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: 30
  • eval_batch_size: 30
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Score Gen Len
0.2776 1.0 3407 0.2137 0.0007 14.2809
0.2216 2.0 6814 0.1836 0.0007 14.3813
0.2036 3.0 10221 0.1762 0.0007 14.3657

Framework versions

  • Transformers 4.38.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.1
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