Greek-Reddit-BERT / config.json
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{
"_name_or_path": "nlpaueb/bert-base-greek-uncased-v1",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1",
"1": "\u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7",
"2": "\u03c8\u03c5\u03c7\u03b1\u03b3\u03c9\u03b3\u03af\u03b1/\u03ba\u03bf\u03c5\u03bb\u03c4\u03bf\u03cd\u03c1\u03b1",
"3": "\u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae",
"4": "\u03c4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1/\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b7",
"5": "\u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03af\u03b1",
"6": "\u03c4\u03b1\u03be\u03af\u03b4\u03b9\u03b1",
"7": "\u03b1\u03b8\u03bb\u03b7\u03c4\u03b9\u03ba\u03ac",
"8": "\u03c6\u03b1\u03b3\u03b7\u03c4\u03cc",
"9": "\u03b9\u03c3\u03c4\u03bf\u03c1\u03af\u03b1"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"\u03b1\u03b8\u03bb\u03b7\u03c4\u03b9\u03ba\u03ac": 7,
"\u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7": 1,
"\u03b9\u03c3\u03c4\u03bf\u03c1\u03af\u03b1": 9,
"\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1": 0,
"\u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03af\u03b1": 5,
"\u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae": 3,
"\u03c4\u03b1\u03be\u03af\u03b4\u03b9\u03b1": 6,
"\u03c4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1/\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b7": 4,
"\u03c6\u03b1\u03b3\u03b7\u03c4\u03cc": 8,
"\u03c8\u03c5\u03c7\u03b1\u03b3\u03c9\u03b3\u03af\u03b1/\u03ba\u03bf\u03c5\u03bb\u03c4\u03bf\u03cd\u03c1\u03b1": 2
},
"layer_norm_eps": 1e-12,
"max_length": 512,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.36.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 35000
}