update model (best checkpoint in 10 epochs)

metrics.json

@@ -0,0 +1,41 @@
+{
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+        "recall": 0.8484386900228484,
+        "f1-score": 0.8744113029827315,
+        "support": 1313.0
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+    "PER": {
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+        "recall": 0.8906077348066298,
+        "f1-score": 0.9089371299689878,
+        "support": 1810.0
+    },
+    "LOC": {
+        "precision": 0.8780339805825242,
+        "recall": 0.8828553996339231,
+        "f1-score": 0.8804380894432613,
+        "support": 1639.0
+    },
+    "MISC": {
+        "precision": 0.8393258426966292,
+        "recall": 0.8208791208791208,
+        "f1-score": 0.8300000000000001,
+        "support": 910.0
+    },
+    "macro_avg": {
+        "precision": 0.8868552399781049,
+        "recall": 0.8606952363356306,
+        "f1-score": 0.8734466305987452
+    },
+    "micro_avg": {
+        "precision": 0.8674188998589563,
+        "recall": 0.8674188998589563,
+        "f1-score": 0.8674188998589563
+    },
+    "weighted_avg": {
+        "precision": 0.8933337086495782,
+        "recall": 0.8674188998589563,
+        "f1-score": 0.8800451824149682
+    }
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:9945775595ee9624f2a54d22878876851a164e4e4d22a0bd2682acff1e9d4def
 size 891730879