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README.md
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---
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license: other
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base_model: stabilityai/stable-code-3b
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tags:
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- generated_from_trainer
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model-index:
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- name: stable-code-3b
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# stable-code-3b
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This model is a fine-tuned version of [stabilityai/stable-code-3b](https://huggingface.co/stabilityai/stable-code-3b) on
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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---
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license: other
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base_model: stabilityai/stable-code-3b
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model-index:
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- name: stable-code-3b
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results: []
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datasets:
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- fasterinnerlooper/lcc_csharp
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library_name: peft
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language:
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- code
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# stable-code-3b
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This model is a fine-tuned (LoRA) version of [stabilityai/stable-code-3b](https://huggingface.co/stabilityai/stable-code-3b) trained on the Microsoft/lcc_csharp dataset.
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## Model description
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Stable Code 3B fine-tuned on microsoft/lcc_csharp modified for in-filling
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## Intended uses & limitations
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Meant to be used to in-fill C# code
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## Training and evaluation data
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[microsoft/lcc_csharp](https://huggingface.co/microsoft/lcc_csharp) modified for in-filling. The dataset is sliced randomly across the entire dataset. One entry in the original dataset maps to one entry in the modified dataset.
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## Training procedure
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Trained in a single GPU environment (either A4000 or P5000) with 16GB of RAM.
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### Training hyperparameters
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The following hyperparameters were used during training:
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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