DrishtiSharma's picture
End of training
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metadata
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: codet5-small-Generate-docstrings-for-Python-bs-32
    results: []

codet5-small-Generate-docstrings-for-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: 2.1105
  • Rouge1: 0.3307
  • Rouge2: 0.16
  • Rougel: 0.297
  • Rougelsum: 0.3149
  • Gen Len: 16.7441

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
2.7701 1.0 4472 2.3322 0.3225 0.1525 0.2894 0.3067 16.3153
2.4907 2.0 8944 2.2464 0.328 0.1555 0.293 0.3119 17.0097
2.405 3.0 13416 2.2004 0.3267 0.1562 0.2934 0.311 16.4531
2.3512 4.0 17888 2.1696 0.3292 0.1571 0.2944 0.3134 17.3872
2.3144 5.0 22360 2.1503 0.3293 0.1586 0.2954 0.3137 16.932
2.2862 6.0 26832 2.1355 0.3307 0.1588 0.2962 0.3149 17.0269
2.2666 7.0 31304 2.1246 0.33 0.1594 0.2962 0.3144 16.7064
2.2514 8.0 35776 2.1163 0.3305 0.1595 0.2968 0.3145 16.4765
2.2401 9.0 40248 2.1120 0.3305 0.1595 0.2967 0.3147 16.763
2.2333 10.0 44720 2.1105 0.3307 0.16 0.297 0.3149 16.7441

Framework versions

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