upload model

config.json

@@ -0,0 +1,33 @@
+{
+  "_name_or_path": "google/mobilebert-uncased",
+  "architectures": [
+    "NNCFNetwork"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_activation": false,
+  "classifier_dropout": null,
+  "embedding_size": 128,
+  "hidden_act": "relu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 512,
+  "initializer_range": 0.02,
+  "intermediate_size": 512,
+  "intra_bottleneck_size": 128,
+  "key_query_shared_bottleneck": true,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "mobilebert",
+  "normalization_type": "no_norm",
+  "num_attention_heads": 4,
+  "num_feedforward_networks": 4,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.0",
+  "trigram_input": true,
+  "true_hidden_size": 128,
+  "type_vocab_size": 2,
+  "use_bottleneck": true,
+  "use_bottleneck_attention": false,
+  "vocab_size": 30522
+}

mobilebert-base-qat.json

@@ -0,0 +1,28 @@
+{
+    "algorithm": "quantization",
+    "preset": "mixed",
+    "overflow_fix": "disable",
+    "initializer": {
+        "range": {
+            "num_init_samples": 300,
+            "type": "mean_min_max"
+        },
+        "batchnorm_adaptation": {
+            "num_bn_adaptation_samples": 0
+        },
+    },
+    "scope_overrides": {
+        "activations": {
+            "{re}.*matmul_0": {
+                "mode": "symmetric"
+            }
+        }
+    },
+    "ignored_scopes": [
+        "{re}.*Embedding*",
+        "{re}.*__add___[0-1]",
+        // "{re}.*layer_norm_0",
+        "{re}.*matmul_1",
+        "{re}.*__truediv__*",
+    ],
+}

openvino_config.json

@@ -0,0 +1,60 @@
+{
+  "compression": {
+    "algorithm": "quantization",
+    "export_to_onnx_standard_ops": false,
+    "ignored_scopes": [
+      "{re}.*Embedding*",
+      "{re}.*__add___[0-1]",
+      "{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"
+        }
+      }
+    }
+  },
+  "input_info": [
+    {
+      "keyword": "input_ids",
+      "sample_size": [
+        32,
+        384
+      ],
+      "type": "long"
+    },
+    {
+      "keyword": "token_type_ids",
+      "sample_size": [
+        32,
+        384
+      ],
+      "type": "long"
+    },
+    {
+      "keyword": "attention_mask",
+      "sample_size": [
+        32,
+        384
+      ],
+      "type": "long"
+    }
+  ],
+  "log_dir": "/nvme2/yujiepan/workspace/jpqd-test/LOGS/optimum-mobilebert-qa/0308_sbtv_mobile_12blks_qat_lr6e-05",
+  "optimum_version": "1.6.3",
+  "save_onnx_model": false,
+  "transformers_version": "4.26.0"
+}

openvino_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da7263d64223ea490a2a16da6baebf5dde123e3375d73429d70f9c1f57e83d73
+size 28010788

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c7f2855d097f594412ce2481d2cadb93f909abd7699c27b9e000e37e356fb82
+size 59127415

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,14 @@
+{
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "name_or_path": "google/mobilebert-uncased",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "MobileBertTokenizer",
+  "unk_token": "[UNK]"
+}