Upload BertForTokenClassification

config.json

@@ -0,0 +1,100 @@
+{
+  "_name_or_path": "/mnt/storage/expts-archived/queryner/multi-seed-uncased-bert/43/checkpoint-4920",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-UoM",
+    "2": "I-UoM",
+    "3": "B-color",
+    "4": "I-color",
+    "5": "B-condition",
+    "6": "I-condition",
+    "7": "B-content",
+    "8": "I-content",
+    "9": "B-core_product_type",
+    "10": "I-core_product_type",
+    "11": "B-creator",
+    "12": "I-creator",
+    "13": "B-department",
+    "14": "I-department",
+    "15": "B-material",
+    "16": "I-material",
+    "17": "B-modifier",
+    "18": "I-modifier",
+    "19": "B-occasion",
+    "20": "I-occasion",
+    "21": "B-origin",
+    "22": "I-origin",
+    "23": "B-price",
+    "24": "I-price",
+    "25": "B-product_name",
+    "26": "I-product_name",
+    "27": "B-product_number",
+    "28": "I-product_number",
+    "29": "B-quantity",
+    "30": "I-quantity",
+    "31": "B-shape",
+    "32": "I-shape",
+    "33": "B-time",
+    "34": "I-time"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-UoM": 1,
+    "B-color": 3,
+    "B-condition": 5,
+    "B-content": 7,
+    "B-core_product_type": 9,
+    "B-creator": 11,
+    "B-department": 13,
+    "B-material": 15,
+    "B-modifier": 17,
+    "B-occasion": 19,
+    "B-origin": 21,
+    "B-price": 23,
+    "B-product_name": 25,
+    "B-product_number": 27,
+    "B-quantity": 29,
+    "B-shape": 31,
+    "B-time": 33,
+    "I-UoM": 2,
+    "I-color": 4,
+    "I-condition": 6,
+    "I-content": 8,
+    "I-core_product_type": 10,
+    "I-creator": 12,
+    "I-department": 14,
+    "I-material": 16,
+    "I-modifier": 18,
+    "I-occasion": 20,
+    "I-origin": 22,
+    "I-price": 24,
+    "I-product_name": 26,
+    "I-product_number": 28,
+    "I-quantity": 30,
+    "I-shape": 32,
+    "I-time": 34,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": -100,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2ccf47b4746f6751035511fcb7eb98c419a38477485bc1b9cda02c5062f3d62f
+size 435739177