update

checkpoint-v1.16.json

@@ -243,7 +243,7 @@
         "Checkpoint File": "TAD-BERT-SST2TextFooler.zip",
         "Author": "H, Yang ([email protected])"
       },
-      
+
       "tad-agnews10k": {
         "id": "",
         "Training Model": "TAD",
@@ -324,7 +324,7 @@
         "Checkpoint File": "TAD-BERT-AGNews10KTextFooler.zip",
         "Author": "H, Yang ([email protected])"
       },
-      
+
       "tad-amazon": {
         "id": "",
         "Training Model": "TAD",
@@ -581,64 +581,85 @@
         "Checkpoint File": "TAD-SST2.zip",
         "Author": "H, Yang ([email protected])"
       },
-      "tad-bert-sst2": {
+      "tad-sst2bae": {
         "id": "",
         "Training Model": "TAD",
         "Training Dataset": "SST2",
         "Language": "English",
         "Description": "Trained on RTX3090",
         "Available Version": "1.15+",
-        "Checkpoint File": "TAD-BERT-SST2.zip",
+        "Checkpoint File": "TAD-SST2BAE.zip",
         "Author": "H, Yang ([email protected])"
       },
-      "tad-sst2bae": {
+      "tad-sst2pwws": {
         "id": "",
         "Training Model": "TAD",
         "Training Dataset": "SST2",
         "Language": "English",
         "Description": "Trained on RTX3090",
         "Available Version": "1.15+",
-        "Checkpoint File": "TAD-SST2BAE.zip",
+        "Checkpoint File": "TAD-SST2PWWS.zip",
         "Author": "H, Yang ([email protected])"
       },
-      "tad-sst2pwws": {
+      "tad-sst2textfooler": {
         "id": "",
         "Training Model": "TAD",
         "Training Dataset": "SST2",
         "Language": "English",
         "Description": "Trained on RTX3090",
         "Available Version": "1.15+",
-        "Checkpoint File": "TAD-SST2PWWS.zip",
+        "Checkpoint File": "TAD-SST2TextFooler.zip",
         "Author": "H, Yang ([email protected])"
       },
-      "tad-sst2textfooler": {
+      "tad-bert-sst2": {
         "id": "",
         "Training Model": "TAD",
         "Training Dataset": "SST2",
         "Language": "English",
         "Description": "Trained on RTX3090",
         "Available Version": "1.15+",
-        "Checkpoint File": "TAD-SST2TextFooler.zip",
+        "Checkpoint File": "TAD-BERT-SST2.zip",
         "Author": "H, Yang ([email protected])"
       },
-      "tad-agnews10k": {
+      "tad-bert-sst2bae": {
         "id": "",
         "Training Model": "TAD",
-        "Training Dataset": "AGNews",
+        "Training Dataset": "SST2",
         "Language": "English",
         "Description": "Trained on RTX3090",
         "Available Version": "1.15+",
-        "Checkpoint File": "TAD-AGNews10K.zip",
+        "Checkpoint File": "TAD-BERT-SST2BAE.zip",
         "Author": "H, Yang ([email protected])"
       },
-      "tad-bert-agnews10k": {
+      "tad-bert-sst2pwws": {
+        "id": "",
+        "Training Model": "TAD",
+        "Training Dataset": "SST2",
+        "Language": "English",
+        "Description": "Trained on RTX3090",
+        "Available Version": "1.15+",
+        "Checkpoint File": "TAD-BERT-SST2PWWS.zip",
+        "Author": "H, Yang ([email protected])"
+      },
+      "tad-bert-sst2textfooler": {
+        "id": "",
+        "Training Model": "TAD",
+        "Training Dataset": "SST2",
+        "Language": "English",
+        "Description": "Trained on RTX3090",
+        "Available Version": "1.15+",
+        "Checkpoint File": "TAD-BERT-SST2TextFooler.zip",
+        "Author": "H, Yang ([email protected])"
+      },
+
+      "tad-agnews10k": {
         "id": "",
         "Training Model": "TAD",
         "Training Dataset": "AGNews",
         "Language": "English",
         "Description": "Trained on RTX3090",
         "Available Version": "1.15+",
-        "Checkpoint File": "TAD-BERT-AGNews10K.zip",
+        "Checkpoint File": "TAD-AGNews10K.zip",
         "Author": "H, Yang ([email protected])"
       },
       "tad-agnews10kbae": {
@@ -671,24 +692,55 @@
         "Checkpoint File": "TAD-AGNews10KTextFooler.zip",
         "Author": "H, Yang ([email protected])"
       },
-      "tad-amazon": {
+      "tad-bert-agnews10k": {
         "id": "",
         "Training Model": "TAD",
         "Training Dataset": "AGNews",
         "Language": "English",
         "Description": "Trained on RTX3090",
         "Available Version": "1.15+",
-        "Checkpoint File": "TAD-Amazon.zip",
+        "Checkpoint File": "TAD-BERT-AGNews10K.zip",
         "Author": "H, Yang ([email protected])"
       },
-      "tad-bert-amazon": {
+      "tad-bert-agnews10kbae": {
         "id": "",
         "Training Model": "TAD",
         "Training Dataset": "AGNews",
         "Language": "English",
         "Description": "Trained on RTX3090",
         "Available Version": "1.15+",
-        "Checkpoint File": "TAD-Amazon-BERT.zip",
+        "Checkpoint File": "TAD-BERT-AGNews10KBAE.zip",
+        "Author": "H, Yang ([email protected])"
+      },
+      "tad-bert-agnews10kpwws": {
+        "id": "",
+        "Training Model": "TAD",
+        "Training Dataset": "AGNews",
+        "Language": "English",
+        "Description": "Trained on RTX3090",
+        "Available Version": "1.15+",
+        "Checkpoint File": "TAD-BERT-AGNews10KPWWS.zip",
+        "Author": "H, Yang ([email protected])"
+      },
+      "tad-bert-agnews10ktextfooler": {
+        "id": "",
+        "Training Model": "TAD",
+        "Training Dataset": "AGNews",
+        "Language": "English",
+        "Description": "Trained on RTX3090",
+        "Available Version": "1.15+",
+        "Checkpoint File": "TAD-BERT-AGNews10KTextFooler.zip",
+        "Author": "H, Yang ([email protected])"
+      },
+
+      "tad-amazon": {
+        "id": "",
+        "Training Model": "TAD",
+        "Training Dataset": "AGNews",
+        "Language": "English",
+        "Description": "Trained on RTX3090",
+        "Available Version": "1.15+",
+        "Checkpoint File": "TAD-Amazon.zip",
         "Author": "H, Yang ([email protected])"
       },
       "tad-amazonbae": {
@@ -720,7 +772,48 @@
         "Available Version": "1.15+",
         "Checkpoint File": "TAD-AmazonTextFooler.zip",
         "Author": "H, Yang ([email protected])"
+      },
+      "tad-bert-amazon": {
+        "id": "",
+        "Training Model": "TAD",
+        "Training Dataset": "AGNews",
+        "Language": "English",
+        "Description": "Trained on RTX3090",
+        "Available Version": "1.15+",
+        "Checkpoint File": "TAD-BERT-Amazon.zip",
+        "Author": "H, Yang ([email protected])"
+      },
+      "tad-bert-amazonbae": {
+        "id": "",
+        "Training Model": "TAD",
+        "Training Dataset": "AGNews",
+        "Language": "English",
+        "Description": "Trained on RTX3090",
+        "Available Version": "1.15+",
+        "Checkpoint File": "TAD-BERT-AmazonBAE.zip",
+        "Author": "H, Yang ([email protected])"
+      },
+      "tad-bert-amazonpwws": {
+        "id": "",
+        "Training Model": "TAD",
+        "Training Dataset": "AGNews",
+        "Language": "English",
+        "Description": "Trained on RTX3090",
+        "Available Version": "1.15+",
+        "Checkpoint File": "TAD-BERT-AmazonPWWS.zip",
+        "Author": "H, Yang ([email protected])"
+      },
+      "tad-bert-amazontextfooler": {
+        "id": "",
+        "Training Model": "TAD",
+        "Training Dataset": "AGNews",
+        "Language": "English",
+        "Description": "Trained on RTX3090",
+        "Available Version": "1.15+",
+        "Checkpoint File": "TAD-BERT-AmazonTextFooler.zip",
+        "Author": "H, Yang ([email protected])"
       }
     }
+
   }
 }