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config.json

@@ -1,11 +1,9 @@
 {
-  "_name_or_path": "bert-base-uncased",
+  "_name_or_path": "microsoft/deberta-base",
   "architectures": [
-    "BertForSequenceClassification"
+    "DebertaForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
-  "classifier_dropout": null,
-  "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
@@ -309,17 +307,25 @@
     "LABEL_98": 98,
     "LABEL_99": 99
   },
-  "layer_norm_eps": 1e-12,
+  "layer_norm_eps": 1e-07,
   "max_position_embeddings": 512,
-  "model_type": "bert",
+  "max_relative_positions": -1,
+  "model_type": "deberta",
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
   "pad_token_id": 0,
-  "position_embedding_type": "absolute",
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 768,
+  "pos_att_type": [
+    "c2p",
+    "p2c"
+  ],
+  "position_biased_input": false,
   "problem_type": "multi_label_classification",
+  "relative_attention": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.46.2",
-  "type_vocab_size": 2,
-  "use_cache": true,
-  "vocab_size": 30522
+  "transformers_version": "4.46.3",
+  "type_vocab_size": 0,
+  "vocab_size": 50265
 }

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:786d51bede314a6f8add512e0cd69a323cef4c703aa0b159e8f8f9dc6d791b49
+size 557245596

training_args.bin

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 size 5240