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README.md

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+## Model
+This model is a fine-tuned version of [BigCode/SantaCoder](https://huggingface.co/bigcode/santacoder) on the Ruby portion of [The Stack](https://huggingface.co/datasets/bigcode/the-stack-dedup).
+
+## Training
+This model was trained using character-level FIM with [this script](https://github.com/Stillerman/santacoder-finetuning) invoked like this
+```
+train.py --model_path=bigcode/santacoder --dataset_name=bigcode/the-stack-dedup \
+  --subset=data/ruby --data_column content --split=train \
+  --seq_length 2048 --max_steps 4000 --batch_size 3 \
+  --gradient_accumulation_steps 8 --learning_rate 5e-5 \
+  --num_warmup_steps 500 --eval_freq 1000 --save_freq 1000 \
+  --log_freq 1 --num_workers=12 --no_fp16 --streaming \
+  --fim_rate=0.5 --fim_spm_rate=0.5
+```
+
+on a 40GB A100 for 48 hours.
+
+## Performance
+
+[MultiPL-E](https://nuprl.github.io/MultiPL-E/) HumanEval Ruby pass@1 = 0.10