Update README.md

README.md

@@ -25,33 +25,26 @@ For English usage, however, [version 1.1](https://huggingface.co/jpacifico/Choco
 
 ### MT-Bench-French
 
-Chocolatine-14B-Instruct-DPO-v1.2 is outperforming Phi-3-medium-4k-instruct and its previous version in French tasks.  
-Please note that the [Chocolatine-3B](jpacifico/Chocolatine-3B-Instruct-DPO-Revised) model is very close to Phi-3-Medium in French, which is a significant achievement.   
+Chocolatine-14B-Instruct-DPO-v1.2 is outperforming its base model Phi-3-medium-4k-instruct on [MT-Bench-French](https://huggingface.co/datasets/bofenghuang/mt-bench-french), used with [multilingual-mt-bench](https://github.com/Peter-Devine/multilingual_mt_bench) and GPT-4-Turbo as LLM-judge. 
 
 ```
 ########## First turn ##########
                                                       score
 model                                         turn         
 gpt-4o-mini                                   1     9.28750
-Chocolatine-14B-Instruct-4k-DPO               1     8.63750
 Chocolatine-14B-Instruct-DPO-v1.2             1     8.61250
 Phi-3-medium-4k-instruct                      1     8.22500
 gpt-3.5-turbo                                 1     8.13750
 Chocolatine-3B-Instruct-DPO-Revised           1     7.98750
 Daredevil-8B                                  1     7.88750
-Daredevil-8B-abliterated                      1     7.83750
-Chocolatine-3B-Instruct-DPO-v1.0              1     7.68750
 NeuralDaredevil-8B-abliterated                1     7.62500
 Phi-3-mini-4k-instruct                        1     7.21250
-Meta-Llama-3-8B-Instruct                      1     7.16250
 Meta-Llama-3.1-8B-Instruct                    1     7.05000
 vigostral-7b-chat                             1     6.78750
 Mistral-7B-Instruct-v0.3                      1     6.75000
 gemma-2-2b-it                                 1     6.45000
-Mistral-7B-Instruct-v0.2                      1     6.28750
 French-Alpaca-7B-Instruct_beta                1     5.68750
 vigogne-2-7b-chat                             1     5.66250
-vigogne-2-7b-instruct                         1     5.13750
 
 ########## Second turn ##########
                                                        score
@@ -60,46 +53,34 @@ gpt-4o-mini                                   2     8.912500
 Chocolatine-14B-Instruct-DPO-v1.2             2     8.337500
 Chocolatine-3B-Instruct-DPO-Revised           2     7.937500
 Phi-3-medium-4k-instruct                      2     7.750000
-Chocolatine-14B-Instruct-4k-DPO               2     7.737500
 gpt-3.5-turbo                                 2     7.679167
-Chocolatine-3B-Instruct-DPO-v1.0              2     7.612500
 NeuralDaredevil-8B-abliterated                2     7.125000
 Daredevil-8B                                  2     7.087500
-Daredevil-8B-abliterated                      2     6.873418
-Meta-Llama-3-8B-Instruct                      2     6.800000
 Meta-Llama-3.1-8B-Instruct                    2     6.787500
-Mistral-7B-Instruct-v0.2                      2     6.512500
 Mistral-7B-Instruct-v0.3                      2     6.500000
 Phi-3-mini-4k-instruct                        2     6.487500
 vigostral-7b-chat                             2     6.162500
 gemma-2-2b-it                                 2     6.100000
 French-Alpaca-7B-Instruct_beta                2     5.487395
 vigogne-2-7b-chat                             2     2.775000
-vigogne-2-7b-instruct                         2     2.240506
 
 ########## Average ##########
                                                   score
 model                                                  
 gpt-4o-mini                                    9.100000
 Chocolatine-14B-Instruct-DPO-v1.2              8.475000
-Chocolatine-14B-Instruct-4k-DPO                8.187500
 Phi-3-medium-4k-instruct                       7.987500
 Chocolatine-3B-Instruct-DPO-Revised            7.962500
 gpt-3.5-turbo                                  7.908333
-Chocolatine-3B-Instruct-DPO-v1.0               7.650000
 Daredevil-8B                                   7.487500
 NeuralDaredevil-8B-abliterated                 7.375000
-Daredevil-8B-abliterated                       7.358491
-Meta-Llama-3-8B-Instruct                       6.981250
 Meta-Llama-3.1-8B-Instruct                     6.918750
 Phi-3-mini-4k-instruct                         6.850000
 Mistral-7B-Instruct-v0.3                       6.625000
 vigostral-7b-chat                              6.475000
-Mistral-7B-Instruct-v0.2                       6.400000
 gemma-2-2b-it                                  6.275000
 French-Alpaca-7B-Instruct_beta                 5.587866
 vigogne-2-7b-chat                              4.218750
-vigogne-2-7b-instruct                          3.698113
 ```
 
 ### Usage