Upload adapter model

Model-demo-35M.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da6c1d44c93fcaa39ff74b5f8e0e028fcd2f1bd9a5938092066c415eb48de68b
+size 3608433

README.md

@@ -5,7 +5,7 @@ base_model: westlake-repl/SaProt_35M_AF2
 
 # Model Card for Model ID
 
-This model is used for a demo task
+This model is used for a demo task<br><br> The digital label means: <br>0: Positive <br> 1: Negative <br> 
 
 
 
@@ -81,7 +81,7 @@ Use the code below to get started with the model.
 
 [More Information Needed]
 
-### Training Procedure 
+### Training Procedure
 
 <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
 
@@ -197,8 +197,6 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 ## Model Card Contact
 
 [More Information Needed]
-
-
 ### Framework versions
 
-- PEFT 0.10.0
+- PEFT 0.11.1

adapter_config.json

@@ -15,18 +15,20 @@
   "megatron_config": null,
   "megatron_core": "megatron.core",
   "modules_to_save": [
-    "classifier"
+    "classifier",
+    "classifier",
+    "score"
   ],
   "peft_type": "LORA",
   "r": 8,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "key",
     "query",
     "intermediate.dense",
     "output.dense",
-    "value"
+    "value",
+    "key"
   ],
   "task_type": "SEQ_CLS",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5d047e5d61f1382a4dc158f5e305e75ef64ad63caea5b5c6f230fe06cbc0180e
+oid sha256:046ec15279040ce8863f95e5cf703430f28d09aeba5ad2e931d7a68ad553b26a
 size 4265400

metadata.json

@@ -0,0 +1,3 @@
+{
+    "training_data_type": "AA"
+}