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Initial upload: XLM-R-base multilingual multi-label emotion classifier (23 langs, 11 labels)
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{
"add_cross_attention": false,
"architectures": [
"XLMRobertaForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
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"dtype": "float32",
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "anger",
"1": "contempt",
"2": "disgust",
"3": "fear",
"4": "frustration",
"5": "gratitude",
"6": "joy",
"7": "love",
"8": "neutral",
"9": "sadness",
"10": "surprise"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"is_decoder": false,
"label2id": {
"anger": 0,
"contempt": 1,
"disgust": 2,
"fear": 3,
"frustration": 4,
"gratitude": 5,
"joy": 6,
"love": 7,
"neutral": 8,
"sadness": 9,
"surprise": 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,
"position_embedding_type": "absolute",
"problem_type": "multi_label_classification",
"tie_word_embeddings": true,
"transformers_version": "5.5.3",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}