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End of training
dee5be4
metadata
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: codet5-small-generate-docstrings-codexglue-python-bs-32
    results: []

codet5-small-generate-docstrings-codexglue-python-bs-32

This model is a fine-tuned version of Salesforce/codet5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.0595
  • Rouge1: 0.3535
  • Rouge2: 0.1748
  • Rougel: 0.3195
  • Rougelsum: 0.336
  • Gen Len: 16.1317

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.6758 1.0 5952 2.2761 0.3458 0.1674 0.312 0.329 16.375
2.4212 2.0 11904 2.1955 0.3471 0.1698 0.3143 0.33 15.3815
2.3395 3.0 17856 2.1480 0.3501 0.1715 0.3159 0.3329 16.4806
2.2889 4.0 23808 2.1198 0.3506 0.1722 0.3167 0.3333 15.974
2.252 5.0 29760 2.0984 0.3524 0.1738 0.3184 0.3351 16.2197
2.226 6.0 35712 2.0851 0.3518 0.1736 0.3182 0.3345 15.9882
2.2047 7.0 41664 2.0746 0.3521 0.1738 0.3185 0.3348 16.2078
2.1894 8.0 47616 2.0654 0.3532 0.1748 0.3194 0.3357 16.1077
2.1798 9.0 53568 2.0617 0.3528 0.1749 0.3192 0.3355 16.0418
2.1732 10.0 59520 2.0595 0.3535 0.1748 0.3195 0.336 16.1317

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4.dev0
  • Tokenizers 0.13.3