Patcas / codet5Basedoc-step-1

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Total runs: 6
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Model's Last Updated: January 31 2024
text2text-generation

Introduction of codet5Basedoc-step-1

Model Details of codet5Basedoc-step-1

codet5Basedoc-step-1

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

  • Loss: 1.2686
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: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
Training results
Training Loss Epoch Step Validation Loss
No log 1.0 264 1.6428
2.1114 2.0 528 1.3960
2.1114 3.0 792 1.2912
1.2408 4.0 1056 1.2686
Framework versions
  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1

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codet5Basedoc-step-1 install

codet5Basedoc-step-1 is an open source model from GitHub that offers a free installation service, and any user can find codet5Basedoc-step-1 on GitHub to install. At the same time, huggingface.co provides the effect of codet5Basedoc-step-1 install, users can directly use codet5Basedoc-step-1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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