Added benchmark results

README.md

@@ -46,11 +46,12 @@ DatasetDict({
 ```
 ## How to evaluate your models
 To evaluate code generation capabilities of your models on HumanEval_ru please follow these steps (example is for [Codellama-7b-Python](https://huggingface.co/codellama/CodeLlama-7b-Python-hf)):
-1. Clone and setup [Our fork of Code Generation LM Evaluation Harness](https://github.com/NLP-Core-Team/bigcode-evaluation-harness)
-2. Run evaluation (WARNING: generated code is executed, it may be unsafe) with the following command 
+1. Clone and setup [Code Generation LM Evaluation Harness](https://github.com/bigcode-project/bigcode-evaluation-harness)
+2. Copy our files lm_eval/tasks/humaneval_ru.py and lm_eval/tasks/__init__.py to lm_eval/tasks of the cloned repo
+3. Run evaluation (WARNING: generated code is executed, it may be unsafe) with the following command 
 ```console
-mkdir -p ./outs/humaneval_ru
-mkdir -p ./results/humaneval_ru
+# mkdir -p ./outs/humaneval_ru
+# mkdir -p ./results/humaneval_ru
 accelerate launch main.py \
   --model codellama/CodeLlama-7b-Python-hf \
   --max_length_generation 512 \
@@ -64,10 +65,34 @@ accelerate launch main.py \
   --save_generations_path ./outs/humaneval_ru/codellama-7b-py.json \
   --metric_output_path ./results/humaneval_ru/codellama-7b-py.metrics
 ```
-3. Resulting metrics of Codellama-7b-Python should be
+4. Resulting metrics of Codellama-7b-Python should be
 ```python
 "humaneval_ru": {
   "pass@1": 0.35,
   "pass@10": 0.5122803695209872
 },
-```
+```
+# Benchmark
+[Starcoder](https://huggingface.co/bigcode/starcoder) and [Codellama](https://huggingface.co/codellama/CodeLlama-7b-hf) models evaluations on HumanEval_Ru and HumanEval are presented in the table below. For further information on Pass@1 and Pass@10 please refer to [original paper](https://arxiv.org/abs/2107.03374).
+
+| model                   |   RU Pass@1 |   RU Pass@10  |   EN Pass@1 |  EN Pass@10 |
+|:------------------------|--------------------------:|---------------------------:|--------------------------:|---------------------------:|
+| starcoderbase-1b        |                    0.1420 |                     0.1801 |                    0.1509 |                     0.2045 |
+| starcoderbase-3b        |                    0.1924 |                     0.2606 |                    0.2137 |                     0.3289 |
+| starcoderbase-7b        |                    0.2515 |                     0.3359 |                    0.2868 |                     0.3852 |
+| starcoderbase-15b       |                    0.2676 |                     0.3872 |                    0.3036 |                     0.4611 |
+| starcoder-15b-Python    |                    0.3103 |                     0.4132 |                    0.3353 |                     0.4931 |
+| CodeLlama-7b-hf         |                    0.2673 |                     0.3688 |                    0.2975 |                     0.4351 |
+| CodeLlama-7b-Python-hf  |                    0.3500 |                     0.5122 |                    0.3960 |                     0.5761 |
+| CodeLlama-13b-hf        |                    0.3380 |                     0.4884 |                    0.3557 |                     0.5489 |
+| 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, 
+</details>