Model Upload

This model is something made in conjunction with Chu Fang, Xiangdi Lin, Dawid Cichocki, and myself for a semester long project learning about QA and then developing an IR system with QA elements using Wikipedia as a knowledge base. This model is for extracting entities from a user's question to then feed to the Wikipedia API, whose contents are sorted and then searched with a pretrained BERT for QA model.

NER_model/config.json

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+{
+  "_name_or_path": "bert-base-uncased",
+  "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": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

NER_model/pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:66390abd4e29cd27e8102ef97014e17525cce5dc70b6d7536d012a9e3b58396d
+size 435643441