Upload CodeBERT SQL error classifier

config.json

@@ -19,7 +19,8 @@
     "5": "NULL_HANDLING_ERROR",
     "6": "PERFORMANCE_ERROR",
     "7": "LOGICAL_ERROR",
-    "8": "SYNTAX_ERROR"
+    "8": "SYNTAX_ERROR",
+    "9": "NO_ERROR"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
@@ -28,6 +29,7 @@
     "FILTER_ERROR": 2,
     "JOIN_ERROR": 0,
     "LOGICAL_ERROR": 7,
+    "NO_ERROR": 9,
     "NULL_HANDLING_ERROR": 5,
     "PERFORMANCE_ERROR": 6,
     "SUBQUERY_ERROR": 4,

label_config.json

@@ -8,7 +8,8 @@
     "NULL_HANDLING_ERROR",
     "PERFORMANCE_ERROR",
     "LOGICAL_ERROR",
-    "SYNTAX_ERROR"
+    "SYNTAX_ERROR",
+    "NO_ERROR"
   ],
   "model_name": "microsoft/codebert-base",
   "architecture": "codebert-cross-encoder",

metrics.json

@@ -1,29 +1,29 @@
 {
-  "train_samples": 12000,
-  "val_samples": 1500,
-  "test_samples": 1500,
-  "train_runtime": 1517.6384,
+  "train_samples": 12800,
+  "val_samples": 1600,
+  "test_samples": 1600,
+  "train_runtime": 1720.7174,
   "validation": {
-    "eval_loss": 0.004817467648535967,
-    "eval_accuracy": 0.9926666666666667,
-    "eval_f1_macro": 0.9945474670443181,
-    "eval_f1_micro": 0.9933377748167888,
-    "eval_precision_macro": 0.9925154105309666,
-    "eval_recall_macro": 0.9966666666666667,
-    "eval_hamming_loss": 0.0014814814814814814,
-    "eval_subset_accuracy": 0.9926666666666667,
-    "eval_runtime": 21.7146,
-    "eval_samples_per_second": 69.078,
-    "eval_steps_per_second": 8.658,
+    "eval_loss": 0.009950438514351845,
+    "eval_accuracy": 0.986875,
+    "eval_f1_macro": 0.987365893192092,
+    "eval_f1_micro": 0.986875,
+    "eval_precision_macro": 0.9823432343234325,
+    "eval_recall_macro": 0.994,
+    "eval_hamming_loss": 0.002625,
+    "eval_subset_accuracy": 0.986875,
+    "eval_runtime": 24.1234,
+    "eval_samples_per_second": 66.326,
+    "eval_steps_per_second": 8.291,
     "epoch": 2.0
   },
   "test": {
-    "accuracy": 0.9913333333333333,
-    "f1_macro": 0.9947790689667695,
-    "f1_micro": 0.9923409923409924,
-    "precision_macro": 0.9925405903330253,
-    "recall_macro": 0.9971111111111112,
-    "hamming_loss": 0.0017037037037037038,
-    "subset_accuracy": 0.9913333333333333
+    "accuracy": 0.988125,
+    "f1_macro": 0.9877733307020831,
+    "f1_micro": 0.988125,
+    "precision_macro": 0.9837556637019634,
+    "recall_macro": 0.9932000000000001,
+    "hamming_loss": 0.002375,
+    "subset_accuracy": 0.988125
   }
 }

model.safetensors

@@ -1,3 +1,3 @@
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-size 498634356
+oid sha256:ed2447e6c2792dc691f9c9e72bcf3f530590286c241c81f89163b4ec2d6b3b10
+size 498637432

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:35ecc99877e431f0fb553bc19b36eb32a69828581003a204660985bcd1a8b58b
+oid sha256:be57a5e722508b6c76ce1a40aa31a271c24b48cfd904164015ebde41dfb08a47
 size 5841