codet5-fine-tuned / README.md
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metadata
license: bsd-3-clause
base_model: Salesforce/codet5p-220m
tags:
  - generated_from_trainer
model-index:
  - name: codet5-fine-tuned
    results: []

codet5-fine-tuned

This model is a fine-tuned version of Salesforce/codet5p-220m on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0726

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
  • train_batch_size: 3
  • eval_batch_size: 3
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 12
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
No log 0.99 56 0.0618
0.0882 1.99 113 0.0578
0.0882 3.0 170 0.0567
0.0503 4.0 227 0.0560
0.0503 4.99 283 0.0569
0.0396 5.99 340 0.0574
0.0396 7.0 397 0.0584
0.03 8.0 454 0.0601
0.0231 8.99 510 0.0612
0.0231 9.99 567 0.0646
0.0184 11.0 624 0.0647
0.0184 12.0 681 0.0665
0.0146 12.99 737 0.0671
0.0146 13.99 794 0.0677
0.012 15.0 851 0.0708
0.0099 16.0 908 0.0712
0.0099 16.99 964 0.0725
0.0087 17.99 1021 0.0720
0.0087 19.0 1078 0.0727
0.0079 19.74 1120 0.0726

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.19.1
  • Tokenizers 0.15.2