Update README.md

README.md

@@ -11,18 +11,20 @@ datasets:
 - ruslandev/tagengo-rus-gpt-4o
 ---
 
-# Llama-3 8B GPT-4o-RU-1.0
+# Llama-3 8B GPT-4o-RU1.0
 
 [[Dataset]](https://huggingface.co/datasets/ruslandev/tagengo-rus-gpt-4o)
 
 This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
 The idea behind this model is to train on a dataset derived from a smaller subset of the [tagengo-gpt4](https://huggingface.co/datasets/lightblue/tagengo-gpt4), but with improved data quality.
 I tried to achieve higher data quality by prompting GPT-4o, the latest OpenAI's LLM with better multilingual capabilities. The training objective is primarily focused on the Russian language (80% of the training examples).
-The model shows promising results on the MT-Bench evaluation benchmark, surpassing GPT-3.5 and being on par with [Suzume](https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual) in Russian language scores, 
+The model shows promising results on the MT-Bench evaluation benchmark, surpassing GPT-3.5-turbo and being on par with [Suzume](https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual) in Russian language scores, 
 even though the latter is trained on 8x bigger and more diverse dataset. 
 
 ## Evaluation scores
 
+I achieved the following scores on Ru/En MT-Bench:
+
 |            |meta-llama/Meta-Llama-3-8B-Instruct | ruslandev/llama-3-8b-gpt-4o-ru1.0 | lightblue/suzume-llama-3-8B-multilingual | Nexusflow/Starling-LM-7B-beta | gpt-3.5-turbo |
 |:----------:|:----------------------------------:|:---------------------------------:|:----------------------------------------:|:-----------------------------:|:-------------:|
 | Russian 🇷🇺 | NaN                                | 8.12                              | 8.19                                     | 8.06                          | 7.94          |