Update README.md

README.md

@@ -1,6 +1,18 @@
 ---
 library_name: peft
+license: cc-by-4.0
+datasets:
+- yahma/alpaca-cleaned
+language:
+- en
+metrics:
+- accuracy
 ---
+
+This represents the PEFT weights only. The base model is LLaMA 2. Instruction finetuning was done using 4 bit QLoRA on a single A100 GPU with the PEFT config as given below. The dataset used for this instruction finetuning process is a translated version of the cleaned alpaca dataset (translated using NLLB-1.3B).
+
+Do note that this model might have inferior performance on some language specific tasks compared to full finetuning or a different base model trained with more language specific data.
+
 ## Training procedure
 
 
@@ -17,4 +29,4 @@ The following `bitsandbytes` quantization config was used during training:
 ### Framework versions
 
 
-- PEFT 0.4.0
+- PEFT 0.4.0