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{
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"_name_or_path": "nlptown/bert-base-multilingual-uncased-sentiment",
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"_num_labels": 5,
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"architectures": [
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"BertForSequenceClassification"
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],
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"classifier_dropout": null,
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"directionality": "bidi",
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"finetuning_task": "sentiment-analysis",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "1 star",
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"1": "2 stars",
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"2": "3 stars",
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"3": "4 stars",
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"4": "5 stars"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"1 star": 0,
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"2 stars": 1,
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"3 stars": 2,
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"4 stars": 3,
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"5 stars": 4
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.41.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 105879
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}
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|