Added reproduction script

README.md

@@ -88,11 +88,98 @@ accelerate launch main.py \
 | CodeLlama-13b-Python-hf |                    0.4380 |                     0.5796 |                    0.4301 |                     0.6226 |
 
 <details> 
-  <summary> Generation parameters to reproduce results in the table </summary>
-  'do_sample': True,
-  'temperature': 0.2,
-  'top_k': 0,
-  'top_p': 0.95,
-  'n_samples': 20,
-  'max_length_generation': 512, 
+  <summary> Generation scripts in the table </summary>
+```console
+#!/bin/bash
+# use with https://github.com/NLP-Core-Team/bigcode-evaluation-harness
+
+# RU
+mkdir -p ./outs/humaneval_ru
+mkdir -p ./results/humaneval_ru
+MODELS_PATH="bigcode"
+echo $MODELS_PATH
+declare -A bs=( ["starcoderbase-1b"]=16 ["starcoderbase-3b"]=8 ["starcoderbase-7b"]=4 ["starcoderbase"]=1 ["starcoder"]=1)
+for model_name in  starcoder # starcoderbase-1b starcoderbase-3b starcoderbase-7b starcoderbase codellama_2_13b
+do
+  echo $MODELS_PATH/$model_name
+  conda run -p /home/jovyan/kokosinskiy/envs/codegen310 --no-capture-output accelerate launch --mixed_precision="fp16" main.py \
+    --model $MODELS_PATH/$model_name \
+    --max_length_generation 512 \
+    --tasks humaneval_ru \
+    --use_auth_token \
+    --temperature 0.2 \
+    --n_samples 20 \
+    --precision fp16 \
+    --batch_size ${bs[$model_name]} \
+    --allow_code_execution \
+    --save_generations_path ./outs/humaneval_ru/$model_name.json \
+    --metric_output_path ./results/humaneval_ru/$model_name.metrics
+done
+
+MODELS_PATH="codellama"
+echo $MODELS_PATH
+declare -A bs=( ["CodeLlama-7b-Python-hf"]=8 ["CodeLlama-7b-hf"]=16 ["CodeLlama-13b-Python-hf"]=4 ["CodeLlama-13b-hf"]=4 )
+for model_name in CodeLlama-7b-hf CodeLlama-7b-Python-hf CodeLlama-13b-hf CodeLlama-13b-Python-hf # codellama_2_13b
+do
+  echo $MODELS_PATH/$model_name
+  conda run -p /home/jovyan/kokosinskiy/envs/codegen310 --no-capture-output accelerate launch --mixed_precision="fp16" main.py \
+    --model $MODELS_PATH/$model_name \
+    --max_length_generation 512 \
+    --tasks humaneval_ru \
+    --use_auth_token \
+    --temperature 0.2 \
+    --n_samples 20 \
+    --precision fp16 \
+    --batch_size ${bs[$model_name]} \
+    --allow_code_execution \
+    --save_generations_path ./outs/humaneval_ru/$model_name.json \
+    --metric_output_path ./results/humaneval_ru/$model_name.metrics
+done
+
+# EN
+
+mkdir -p ./outs/humaneval
+mkdir -p ./results/humaneval
+MODELS_PATH="bigcode"
+echo $MODELS_PATH
+declare -A bs=( ["starcoderbase-1b"]=16 ["starcoderbase-3b"]=8 ["starcoderbase-7b"]=4 ["starcoderbase"]=1 ["starcoder"]=1)
+for model_name in  starcoder starcoderbase-1b starcoderbase-3b starcoderbase-7b starcoderbase
+do
+  echo $MODELS_PATH/$model_name
+  conda run -p /home/jovyan/kokosinskiy/envs/codegen310 --no-capture-output accelerate launch --mixed_precision="fp16" main.py \
+    --model $MODELS_PATH/$model_name \
+    --max_length_generation 512 \
+    --tasks humaneval \
+    --use_auth_token \
+    --temperature 0.2 \
+    --n_samples 20 \
+    --precision fp16 \
+    --batch_size ${bs[$model_name]} \
+    --allow_code_execution \
+    --save_generations_path ./outs/humaneval/$model_name.json \
+    --metric_output_path ./results/humaneval/$model_name.metrics
+done
+
+MODELS_PATH="codellama"
+echo $MODELS_PATH
+declare -A bs=( ["CodeLlama-7b-Python-hf"]=8 ["CodeLlama-7b-hf"]=16 ["CodeLlama-13b-Python-hf"]=4 ["CodeLlama-13b-hf"]=4 )
+for model_name in CodeLlama-7b-hf CodeLlama-7b-Python-hf CodeLlama-13b-hf CodeLlama-13b-Python-hf
+do
+  echo $MODELS_PATH/$model_name
+  conda run -p /home/jovyan/kokosinskiy/envs/codegen310 --no-capture-output accelerate launch --mixed_precision="fp16" main.py \
+    --model $MODELS_PATH/$model_name \
+    --max_length_generation 512 \
+    --tasks humaneval \
+    --use_auth_token \
+    --temperature 0.2 \
+    --n_samples 20 \
+    --precision fp16 \
+    --batch_size ${bs[$model_name]} \
+    --allow_code_execution \
+    --save_generations_path ./outs/humaneval/$model_name.json \
+    --metric_output_path ./results/humaneval/$model_name.metrics
+done
+
+
+```
 </details>