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: 0.0916

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 0.0720
0.0898 1.99 113 0.0694
0.0898 3.0 170 0.0682
0.0509 4.0 227 0.0693
0.0509 4.99 283 0.0699
0.0384 5.99 340 0.0725
0.0384 7.0 397 0.0729
0.0295 8.0 454 0.0758
0.0224 8.99 510 0.0785
0.0224 9.99 567 0.0806
0.0177 11.0 624 0.0799
0.0177 12.0 681 0.0835
0.0136 12.99 737 0.0873
0.0136 13.99 794 0.0881
0.0116 15.0 851 0.0887
0.0095 16.0 908 0.0899
0.0095 16.99 964 0.0910
0.0082 17.99 1021 0.0916
0.0082 19.0 1078 0.0912
0.0072 19.74 1120 0.0916

Framework versions

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