| | --- |
| | license: openrail |
| | datasets: |
| | - bigcode/the-stack-dedup |
| | library_name: transformers |
| | tags: |
| | - code_generation |
| | - R programming |
| | - sas |
| | - santacoder |
| | --- |
| | |
| | # Statscoder |
| |
|
| | This model is a fine-tuned version of [bigcode/santacoder](https://huggingface.co/bigcode/santacoder) on `R` and `SAS` language repositories in [the stack ](https://huggingface.co/datasets/bigcode/the-stack-dedup) dataset. |
| |
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| |
|
| | ## Training procedure |
| |
|
| | The model was finetuned using the code adapted from [loubnabnl/santacoder-finetuning](https://github.com/loubnabnl/santacoder-finetuning). Adapted to handle multiple subsets of datasets and it is [here](https://github.com/infinitylogesh/santacoder-finetuning). |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - optimizer: adafactor |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 100 |
| | - training_steps: 1600 |
| | - seq_length: 1024 |
| | - no_fp16 |
| | |
