Update README.md

README.md

@@ -79,11 +79,7 @@ configs:
     path: "data/reading_comprehension-00000-of-00001-f9c8df20c22e46d0.parquet"
 ---
 
-<span style="color:red"> 🔴 IMPORTANT❗🔴 HAE-RAE is now LM-Eval supported❗ We are adding evaluation results to our documentation so let us know if you want your model to be added.</span>
-
-
-
-The HAE_RAE_BENCH is an ongoing project to develop a suite of evaluation tasks designed to test the 
+The HAE_RAE_BENCH 1.1 is an ongoing project to develop a suite of evaluation tasks designed to test the 
 understanding of models regarding Korean cultural and contextual nuances. 
 Currently, it comprises 13 distinct tasks, with a total of 4900 instances. 
 
@@ -92,7 +88,6 @@ the contents are not completely identical. Specifically, the reading comprehensi
 In its place, an updated reading comprehension subset has been introduced, sourced from the CSAT, the Korean university entrance examination. 
 To replicate the studies from the paper, please use this [code](https://github.com/EleutherAI/lm-evaluation-harness/blob/master/lm_eval/tasks/haerae.py). 
 
-For the latest version of the code, refer to [this](https://github.com/guijinSON/HAE-RAE-Bench.v2/blob/main/HAE_RAE_Bench_Evaluation.ipynb).
 
 ### Dataset Overview
 
@@ -114,47 +109,6 @@ For the latest version of the code, refer to [this](https://github.com/guijinSON
 | **Total**                   | **4900**  |         |                                                                     |
 
 
-### Evaluation Results
-
-| Models   | correct_definition_matching| csat_geo | csat_law | csat_socio | date_understanding | general_knowledge | history | loan_words | reading_comprehension | rare_words | standard_nomenclature |
-|----------|---------|----------|----------|----------|--------|--------|--------|--------|--------|--------|--------|
-| daekeun-ml/Llama-2-ko-DPO-13B | 0.5421  | 0.1800   | 0.1613   | 0.2181   | 0.4905 | 0.3523 | 0.7500 | 0.8107 | 0.2382 | 0.6963 | 0.7908 |
-
-
-
-
-### How to use (LM-Eval-Harness)
-```Python
-!git clone https://github.com/guijinSON/lm-evaluation-harness.git
-!pip install sentencepiece
-%cd lm-evaluation-harness
-!pip install -e .
-!pip install -e ".[multilingual]"
-!pip install huggingface_hub
-!python -c "from huggingface_hub.hf_api import HfFolder; HfFolder.save_token('<YOUR_HF_TOKEN>')"
-
-!python main.py \
-    --model hf-causal \
-    --model_args pretrained=daekeun-ml/Llama-2-ko-DPO-13B,dtype=bfloat16\
-    --num_fewshot 1\
-    --batch_size 2\
-    --tasks hr2_cdm,hr2_cgeo,hr2_claw,hr2_csoc,hr2_du,hr2_gk,hr2_hi,hr2_lw,hr2_rw,hr2_rc,hr2_sn\
-    --alteration ""\
-    --device cuda:0
-```
-
-### Release Notes
-__2023.12.03__: All errors fixed! 11 Tasks available via LM-Eval Harness refer to the code above to run evaluation. (List of Available Tasks: correct_definition_matching, csat_geo, csat_law, csat_socio, date_understanding, general_knowledge, history, loan_words, rare_words, reading_comprehension, standard_nomenclature)
-
-__2023.11.06__: 3 tasks added (csat_geo, csat_law, csat_socio)
-
-__2023.09.28__:  [LM-Eval-Harness](https://github.com/EleutherAI/lm-evaluation-harness) support added for the following 8 tasks: 
-Loan Words, Rare Words, Standard Nomenclature, History, General Knowledge,correct_definition_matching, date_understanding,reading_comprehension. 
-Refer to the following [document](https://github.com/guijinSON/HAE-RAE-Bench.v2/blob/main/HAE_RAE_Bench_Evaluation.ipynb) to run the evaluation yourself.
-
-__2023.09.16__: 10 tasks added, 5 from original HAE-RAE Bench(Loan Words, Rare Words, Standard Nomenclature, History, General Knowledge),
- 5 new tasks (correct_definition_matching, date_understanding, lyrics_denoising, proverbs_denoising, reading_comprehension)
-
 ### Point of Contact
 For any questions contact us via the following email:)
 ```