add model

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "tner_ckpt/mit_restaurant_deberta_v3_large/model_rgwuwr/epoch_5",
+  "_name_or_path": "deberta-v3-large-mit-restaurant",
   "architectures": [
     "DebertaV2ForTokenClassification"
   ],
@@ -833,7 +833,7 @@
   "relative_attention": true,
   "share_att_key": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.20.1",
+  "transformers_version": "4.11.3",
   "type_vocab_size": 0,
   "vocab_size": 128100
 }

eval/metric_span.json

@@ -1 +1 @@
-{"micro/f1": 0.8557510999371464, "micro/f1_ci": {"90": [0.8457549886322284, 0.866532074562069], "95": [0.8439094859106241, 0.8689014756604962]}, "micro/recall": 0.8641701047286575, "micro/precision": 0.8474945533769063, "macro/f1": 0.8557510999371464, "macro/f1_ci": {"90": [0.8457549886322284, 0.866532074562069], "95": [0.8439094859106241, 0.8689014756604962]}, "macro/recall": 0.8641701047286575, "macro/precision": 0.8474945533769063}
+{"micro/f1": 0.8515132408575031, "micro/f1_ci": {"90": [0.8405079312735023, 0.8624752455546121], "95": [0.838277365374918, 0.8643280020422435]}, "micro/recall": 0.8571881942240559, "micro/precision": 0.8459129345443157, "macro/f1": 0.8515132408575031, "macro/f1_ci": {"90": [0.8405079312735023, 0.8624752455546121], "95": [0.838277365374918, 0.8643280020422435]}, "macro/recall": 0.8571881942240559, "macro/precision": 0.8459129345443157}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b23b1c8747da48934080fc97c1c41b16f6ad5846bfcc347b5b67f519bce0f1b8
-size 1736255855
+oid sha256:a67720ee3ea38fb29fb752a2cd8e4071938ac55c8294c58dbd83446462af4b1e
+size 1736284847