Add model files

config.json

@@ -0,0 +1,90 @@
+{
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "abbrev",
+    "1": "adj",
+    "2": "adj_comp",
+    "3": "adj_num",
+    "4": "adv",
+    "5": "adv_interrog",
+    "6": "adv_rel",
+    "7": "conj",
+    "8": "conj_sub",
+    "9": "digit",
+    "10": "interj",
+    "11": "noun",
+    "12": "noun_num",
+    "13": "noun_prop",
+    "14": "noun_quant",
+    "15": "part",
+    "16": "part_det",
+    "17": "part_focus",
+    "18": "part_fut",
+    "19": "part_interrog",
+    "20": "part_neg",
+    "21": "part_restrict",
+    "22": "part_verb",
+    "23": "part_voc",
+    "24": "prep",
+    "25": "pron",
+    "26": "pron_dem",
+    "27": "pron_exclam",
+    "28": "pron_interrog",
+    "29": "pron_rel",
+    "30": "punc",
+    "31": "verb",
+    "32": "verb_pseudo"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "abbrev": 0,
+    "adj": 1,
+    "adj_comp": 2,
+    "adj_num": 3,
+    "adv": 4,
+    "adv_interrog": 5,
+    "adv_rel": 6,
+    "conj": 7,
+    "conj_sub": 8,
+    "digit": 9,
+    "interj": 10,
+    "noun": 11,
+    "noun_num": 12,
+    "noun_prop": 13,
+    "noun_quant": 14,
+    "part": 15,
+    "part_det": 16,
+    "part_focus": 17,
+    "part_fut": 18,
+    "part_interrog": 19,
+    "part_neg": 20,
+    "part_restrict": 21,
+    "part_verb": 22,
+    "part_voc": 23,
+    "prep": 24,
+    "pron": 25,
+    "pron_dem": 26,
+    "pron_exclam": 27,
+    "pron_interrog": 28,
+    "pron_rel": 29,
+    "punc": 30,
+    "verb": 31,
+    "verb_pseudo": 32
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

eval_results.txt

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+eval_loss = 0.4634636850182777
+eval_accuracy = 0.9262271824458527
+eval_precision_micro = 0.9262271824458527
+eval_recall_micro = 0.9262271824458527
+eval_f1_micro = 0.9262271824458527
+eval_precision_macro = 0.8341930484124661
+eval_recall_macro = 0.8248170288309106
+eval_f1_macro = 0.8148311376088689

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9e1567b98f9b1cf9184c0aa8c4c6d437cfdf87e4bd1a5332a53e0865012d6e4a
+size 436481449

special_tokens_map.json

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

test_results.txt

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+eval_loss = 0.46857369508099006
+eval_accuracy = 0.9269937451133698
+eval_precision_micro = 0.9269937451133698
+eval_recall_micro = 0.9269937451133698
+eval_f1_micro = 0.9269937451133698
+eval_precision_macro = 0.838110577137749
+eval_recall_macro = 0.8426401139576493
+eval_f1_macro = 0.8387238315336736

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ce10515167bfe57e9af1b0c5edfd6f393f49c1712f99ac764f1f54c3b973c4a9
+size 436592640

tokenizer_config.json

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+{"do_lower_case": false, "special_tokens_map_file": null, "full_tokenizer_file": null}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9824933ff35f3d663cfcb02d5d715e3b8d827cb1b54f7bd27489a2b5c6d03328
+size 1353