Training in progress, epoch 1

added_tokens.json

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+{
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+  "[MASK]": 103,
+  "[PAD]": 0,
+  "[SEP]": 102,
+  "[UNK]": 100
+}

config.json

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+{
+  "_name_or_path": "gokuls/HBERTv1_48_L6_H768_A12",
+  "activation": "relu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.05,
+  "dim": 768,
+  "dropout": 0.05,
+  "hidden_dim": 3072,
+  "id2label": {
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+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
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+  "model_type": "hybridbert",
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+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
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+  "sinusoidal_pos_embds": true,
+  "torch_dtype": "float32",
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+  "vocab_size": 30522
+}

pytorch_model.bin

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special_tokens_map.json

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

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "special": true
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+  "additional_special_tokens": [],
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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