codeBERTa-csharp / README.md
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metadata
base_model: huggingface/CodeBERTa-small-v1
tags:
  - generated_from_trainer
model-index:
  - name: models
    results: []
license: mit
datasets:
  - microsoft/LCC_csharp
language:
  - en
library_name: transformers

models

This model is a fine-tuned version of huggingface/CodeBERTa-small-v1 on an the Microsoft/LCC_csharp dataset.

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0