Training in progress, epoch 1

.gitignore

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config.json

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+{
+  "_name_or_path": "nlptown/bert-base-multilingual-uncased-sentiment",
+  "_num_labels": 5,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
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+  "directionality": "bidi",
+  "finetuning_task": "sentiment-analysis",
+  "hidden_act": "gelu",
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+  "model_type": "bert",
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+  "num_hidden_layers": 12,
+  "output_past": true,
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+  "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": "regression",
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 105879
+}

pytorch_model.bin

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special_tokens_map.json

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+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
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tokenizer_config.json

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+{
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+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "max_len": 512,
+  "name_or_path": "nlptown/bert-base-multilingual-uncased-sentiment",
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+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
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+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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