Model save

config.json

@@ -26,7 +26,6 @@
   "num_hidden_layers": 12,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "problem_type": "single_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.26.0",
   "type_vocab_size": 2,

openvino_config.json

@@ -1,33 +1,5 @@
 {
-  "compression": {
-    "algorithm": "quantization",
-    "export_to_onnx_standard_ops": false,
-    "ignored_scopes": [
-      "{re}.*Embeddings.*",
-      "{re}.*__add___[0-1]",
-      "{re}.*layer_norm_0",
-      "{re}.*matmul_1",
-      "{re}.*__truediv__*"
-    ],
-    "initializer": {
-      "batchnorm_adaptation": {
-        "num_bn_adaptation_samples": 0
-      },
-      "range": {
-        "num_init_samples": 300,
-        "type": "mean_min_max"
-      }
-    },
-    "overflow_fix": "disable",
-    "preset": "mixed",
-    "scope_overrides": {
-      "activations": {
-        "{re}.*matmul_0": {
-          "mode": "symmetric"
-        }
-      }
-    }
-  },
+  "compression": [],
   "input_info": [
     {
       "keyword": "input_ids",

openvino_model.bin

@@ -1,3 +1,3 @@
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-size 181696776
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+size 437939356

pytorch_model.bin

@@ -1,3 +1,3 @@
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+size 438007541

training_args.bin

@@ -1,3 +1,3 @@
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 size 3643