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{
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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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": "anger",
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"1": "anticipation",
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"2": "disgust",
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|
"3": "fear",
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|
"4": "joy",
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|
"5": "love",
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|
"6": "optimism",
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|
"7": "pessimism",
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|
"8": "sadness",
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"9": "surprise",
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"10": "trust"
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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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"anger": 0,
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"anticipation": 1,
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"disgust": 2,
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"fear": 3,
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"joy": 4,
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"love": 5,
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"optimism": 6,
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"pessimism": 7,
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"sadness": 8,
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"surprise": 9,
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"trust": 10
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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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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "multi_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.41.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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|