Upload folder using huggingface_hub

README.md

@@ -1,20 +1,20 @@
 ---
+base_model: DavidLanz/Llama3-tw-8B-Instruct
 language:
 - en
-license: apache-2.0
 library_name: peft
+license: apache-2.0
+model_name: Llama 3 8B Instruct
+pipeline_tag: text-generation
 tags:
 - facebook
 - meta
 - pytorch
 - llama
 - llama-2
-base_model: DavidLanz/Llama3-tw-8B-Instruct
-model_name: Llama 3 8B Instruct
 inference: false
 model_creator: Meta Llama 3
 model_type: llama
-pipeline_tag: text-generation
 quantized_by: QLoRA
 ---
 
@@ -34,7 +34,7 @@ Disclaimer: This model is for a time series problem on LLM performance, and it's
 
 ## Model Details
 
-The training data source is from the [臺灣證券交易所 / Taiwan Stock Exchange (TWSE)](https://www.twse.com.tw/), covering the period from January 1, 2019, to July 5, 2024 (5 years).
+The training data source is from the [臺灣證券交易所 / Taiwan Stock Exchange (TWSE)](https://www.twse.com.tw/), covering the period from January 1, 2019, to July 1, 2024 (5 years).
 
 ### Model Description
 

adapter_config.json

@@ -20,8 +20,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
-    "q_proj"
+    "q_proj",
+    "v_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e6dd8c67c94a23e7cd11a3e9bc334ef91e02cdb0b94ba135010381ae849d8e73
+oid sha256:a05b1ef92a24752c5e55e6ac93320e84f67696f508aa6b81fde0d0d874d18d2c
 size 109069176