Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "indobenchmark/indobert-base-p1",
+  "_num_labels": 5,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Analyst Update",
+    "1": "Fed | Central Banks",
+    "2": "Company | Product News",
+    "3": "Treasuries | Corporate Debt",
+    "4": "Dividend",
+    "5": "Earnings",
+    "6": "Energy | Oil",
+    "7": "Financials",
+    "8": "Currencies",
+    "9": "General News | Opinion",
+    "10": "Gold | Metals | Materials",
+    "11": "IPO",
+    "12": "Legal | Regulation",
+    "13": "M&A | Investments",
+    "14": "Macro",
+    "15": "Markets",
+    "16": "Politics",
+    "17": "Personnel Change",
+    "18": "Stock Commentary",
+    "19": "Stock Movement"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Analyst Update": 0,
+    "Company | Product News": 2,
+    "Currencies": 8,
+    "Dividend": 4,
+    "Earnings": 5,
+    "Energy | Oil": 6,
+    "Fed | Central Banks": 1,
+    "Financials": 7,
+    "General News | Opinion": 9,
+    "Gold | Metals | Materials": 10,
+    "IPO": 11,
+    "Legal | Regulation": 12,
+    "M&A | Investments": 13,
+    "Macro": 14,
+    "Markets": 15,
+    "Personnel Change": 17,
+    "Politics": 16,
+    "Stock Commentary": 18,
+    "Stock Movement": 19,
+    "Treasuries | Corporate Debt": 3
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "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": "4.31.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 50000
+}

pytorch_model.bin

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runs/Jul30_10-55-08_8f05fc9e8812/events.out.tfevents.1690714520.8f05fc9e8812.4929.0

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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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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "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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