Notebooks Final Sorting

ViktorVeselov · Oct 23, 2023 · d6644b1 · d6644b1
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diff --git a/Bin/Gradio Chatbot and Hugging Face Spaces App Husting.docx b/Bin/Gradio Chatbot and Hugging Face Spaces App Husting.docx
diff --git a/Bin/Gradio_Chatbot.ipynb b/Bin/Gradio_Chatbot.ipynb
diff --git a/Bin/Llama 2 Models BLEU and ROUGE Metrics.xlsx b/Bin/Llama 2 Models BLEU and ROUGE Metrics.xlsx
diff --git a/Bin/MSAAI520_Final_Project_Bin_EDA.ipynb b/Bin/MSAAI520_Final_Project_Bin_EDA.ipynb
diff --git a/Bin/Performance and Evaluation.docx b/Bin/Performance and Evaluation.docx
diff --git a/Final Folder/Model Selection/.DS_Store b/Final Folder/Model Selection/.DS_Store
diff --git a/...Selection/Llama_2__Fine_tuning_v2.1.ipynb → ...ection/Llama_2_Chat__Fine_Tuning_V2.ipynb b/...Selection/Llama_2__Fine_tuning_v2.1.ipynb → ...ection/Llama_2_Chat__Fine_Tuning_V2.ipynb
diff --git a/Bin/Llama_2__Fine_tuning_v2.ipynb → ...l Selection/Llama_2__Fine_Tuning_V2.ipynb b/Bin/Llama_2__Fine_tuning_v2.ipynb → ...l Selection/Llama_2__Fine_Tuning_V2.ipynb
diff --git a/Bin/Llama_2__Fine_tuning.ipynb → ...uning_with_Cleaned_Data_Dropoff_0_5.ipynb b/Bin/Llama_2__Fine_tuning.ipynb → ...uning_with_Cleaned_Data_Dropoff_0_5.ipynb
diff --git a/.../Performance and Evaluations/Llama_2_Chat__Fine_Tuning_with_Cleaned_Data_Early_Stop.ipynb b/.../Performance and Evaluations/Llama_2_Chat__Fine_Tuning_with_Cleaned_Data_Early_Stop.ipynb
diff --git a/Final Folder/Performance and Evaluations/Llama_2__Fine_Tuning_with_Cleaned_Data.ipynb b/Final Folder/Performance and Evaluations/Llama_2__Fine_Tuning_with_Cleaned_Data.ipynb
@@ -14563,6 +14563,7 @@
     {
       "cell_type": "code",
       "source": [
+        "# Base Model Load code from https://github.com/brevdev/notebooks/blob/main/llama2-finetune.ipynb\n",
         "base_model_name=\"meta-llama/Llama-2-7b-chat-hf\"\n",
         "# Define the configuration for 'BitsAndBytes' quantization method.\n",
         "bnb_config = BitsAndBytesConfig(\n",

diff --git a/Final Folder/Performance and Evaluations/Llama_2__Fine_Tuning_with_Uncleaned_Data.ipynb b/Final Folder/Performance and Evaluations/Llama_2__Fine_Tuning_with_Uncleaned_Data.ipynb
@@ -14932,6 +14932,7 @@
     {
       "cell_type": "code",
       "source": [
+        "# Base Model Load code from https://github.com/brevdev/notebooks/blob/main/llama2-finetune.ipynb\n",
         "base_model_name=\"meta-llama/Llama-2-7b-hf\"\n",
         "# Define the configuration for 'BitsAndBytes' quantization method.\n",
         "bnb_config = BitsAndBytesConfig(\n",