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{
"_num_labels": 11,
"add_cross_attention": false,
"architectures": [
"XLMRobertaForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"dtype": "float32",
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "Ambiguous",
"1": "Anger",
"2": "Anticipation",
"3": "Disguist",
"4": "Fear",
"5": "Joy",
"6": "Love",
"7": "Neutral",
"8": "Sadness",
"9": "Surprise",
"10": "Trust"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"is_decoder": false,
"label2id": {
"Ambiguous": 0,
"Anger": 1,
"Anticipation": 2,
"Disguist": 3,
"Fear": 4,
"Joy": 5,
"Love": 6,
"Neutral": 7,
"Sadness": 8,
"Surprise": 9,
"Trust": 10
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "xlm-roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 1,
"padding": "max_length",
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"tie_word_embeddings": true,
"transformers_version": "5.1.0",
"type_vocab_size": 1,
"use_cache": false,
"vocab_size": 250002
}