Update README.md

README.md

@@ -1,32 +1,33 @@
 ---
-library_name: peft
+license: cc-by-sa-4.0
+datasets:
+- izumi-lab/llm-japanese-dataset
+language:
+- ja
+- en
 ---
-## Training procedure
 
+## This model is a fine-tuned Llama2-7b-chat-hf model with Japanese dataset with LoRA.
+# This model is finetuned by the joint efforts of Sparticle Inc. and A. I. Hakusan Inc.
 
-The following `bitsandbytes` quantization config was used during training:
-- load_in_8bit: True
-- llm_int8_threshold: 6.0
-- llm_int8_skip_modules: None
-- llm_int8_enable_fp32_cpu_offload: False
+The training set of this model contains:
+  
+  5% of randomly chosen data from llm-japanese-dataset by izumi-lab.
 
-The following `bitsandbytes` quantization config was used during training:
-- load_in_8bit: True
-- llm_int8_threshold: 6.0
-- llm_int8_skip_modules: None
-- llm_int8_enable_fp32_cpu_offload: False
-### Framework versions
+  Japanese-alpaca-lora dataset, retrieved from https://github.com/masa3141/japanese-alpaca-lora/tree/main
 
-- PEFT 0.5.0.dev0
+For inference, please follow the instructions in https://github.com/tloen/alpaca-lora/ .
 
-- PEFT 0.5.0.dev0
-config was used during training:
+## Training procedure
+
+The following `bitsandbytes` quantization config was used during training:
 - load_in_8bit: True
 - llm_int8_threshold: 6.0
 - llm_int8_skip_modules: None
 - llm_int8_enable_fp32_cpu_offload: False
+
 ### Framework versions
 
 - PEFT 0.5.0.dev0
 
-- PEFT 0.5.0.dev0
+You must agree with Meta's agreements when using this LoRA adapter with Llama-2.