Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "prajjwal1/bert-tiny",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 128,
+  "id2label": {
+    "0": "O",
+    "1": "JOB",
+    "2": "EMAIL",
+    "3": "PHONE",
+    "4": "COUNTRY",
+    "5": "POSTAL_CODE",
+    "6": "STATE",
+    "7": "CITY",
+    "8": "COMPANY",
+    "9": "INDUSTRY",
+    "10": "ADDRESS",
+    "11": "NAME",
+    "12": "SUMMARY",
+    "13": "REVIEW"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 512,
+  "label2id": {
+    "ADDRESS": 10,
+    "CITY": 7,
+    "COMPANY": 8,
+    "COUNTRY": 4,
+    "EMAIL": 2,
+    "INDUSTRY": 9,
+    "JOB": 1,
+    "NAME": 11,
+    "O": 0,
+    "PHONE": 3,
+    "POSTAL_CODE": 5,
+    "REVIEW": 13,
+    "STATE": 6,
+    "SUMMARY": 12
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 2,
+  "num_hidden_layers": 2,
+  "pad_token_id": 0,
+  "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": 30522
+}

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_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "name_or_path": "prajjwal1/bert-tiny",
+  "never_split": null,
+  "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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