
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# CodeBertForCodeTrans

This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/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:<Your java code>"
```

## 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

{"tags": ["generated_from_trainer"], "base_model": "microsoft/codebert-base", "model-index": [{"name": "CodeBertForCodeTrans", "results": []}]}
transformers pytorch safetensors roberta text-generation generated_from_trainer base_model:microsoft/codebert-base autotrain_compatible endpoints_compatible region:us