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--- |
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license: openrail |
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datasets: |
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- bigcode/the-stack-dedup |
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library_name: transformers |
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tags: |
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- code_generation |
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- R programming |
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- sas |
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- santacoder |
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--- |
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# Statscoder |
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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 |
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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). |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- optimizer: adafactor |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 1600 |
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- seq_length: 1024 |
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- no_fp16 |
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