Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "bert-large-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "sd",
+    "1": "b",
+    "2": "sv",
+    "3": "%",
+    "4": "aa",
+    "5": "ba",
+    "6": "fc",
+    "7": "qw",
+    "8": "nn",
+    "9": "bk",
+    "10": "h",
+    "11": "qy^d",
+    "12": "bh",
+    "13": "^q",
+    "14": "bf",
+    "15": "fo_o_fw_\"_by_bc",
+    "16": "fo_o_fw_by_bc_\"",
+    "17": "na",
+    "18": "ad",
+    "19": "^2",
+    "20": "b^m",
+    "21": "qo",
+    "22": "qh",
+    "23": "^h",
+    "24": "ar",
+    "25": "ng",
+    "26": "br",
+    "27": "no",
+    "28": "fp",
+    "29": "qrr",
+    "30": "arp_nd",
+    "31": "t3",
+    "32": "oo_co_cc",
+    "33": "aap_am",
+    "34": "t1",
+    "35": "bd",
+    "36": "^g",
+    "37": "qw^d",
+    "38": "fa",
+    "39": "ft",
+    "40": "+",
+    "41": "x",
+    "42": "ny",
+    "43": "sv_fx",
+    "44": "qy_qr",
+    "45": "ba_fe"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
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+    "+": 40,
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+    "^h": 23,
+    "^q": 13,
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+    "fa": 38,
+    "fc": 6,
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+    "fo_o_fw_by_bc_\"": 16,
+    "fp": 28,
+    "ft": 39,
+    "h": 10,
+    "na": 17,
+    "ng": 25,
+    "nn": 8,
+    "no": 27,
+    "ny": 42,
+    "oo_co_cc": 32,
+    "qh": 22,
+    "qo": 21,
+    "qrr": 29,
+    "qw": 7,
+    "qw^d": 37,
+    "qy^d": 11,
+    "qy_qr": 44,
+    "sd": 0,
+    "sv": 2,
+    "sv_fx": 43,
+    "t1": 34,
+    "t3": 31,
+    "x": 41
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

pytorch_model.bin

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special_tokens_map.json

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

tokenizer_config.json

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+{
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "name_or_path": "bert-large-cased",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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