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{
"_name_or_path": "prajjwal1/bert-mini",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 256,
"id2label": {
"0": "sadness",
"1": "anger",
"2": "love",
"3": "surprise",
"4": "fear",
"5": "happiness",
"6": "neutral",
"7": "disgust",
"8": "shame",
"9": "guilt",
"10": "confusion",
"11": "desire",
"12": "sarcasm"
},
"initializer_range": 0.02,
"intermediate_size": 1024,
"label2id": {
"sadness": 0,
"anger": 1,
"love": 2,
"surprise": 3,
"fear": 4,
"happiness": 5,
"neutral": 6,
"disgust": 7,
"shame": 8,
"guilt": 9,
"confusion": 10,
"desire": 11,
"sarcasm": 12
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 4,
"num_hidden_layers": 4,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.49.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}