metadata
base_model: microsoft/codebert-base
tags:
- generated_from_trainer
model-index:
- name: CodeBertForCodeTrans
results: []
CodeBertForCodeTrans
This model is a fine-tuned version of microsoft/codebert-base on an unknown dataset.
Model description
This model is fine-tuned on CodeXGLUE codetrans dataset. It can only translate java code to c-sharp code. Prompt: '''Python "#translate this java code to c-sharp code:\njava:" '''
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 12354.0
- num_epochs: 20
Training results
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.13.3