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{
"architectures": [
"BertForSequenceClassification"
],
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"classifier_dropout": null,
"directionality": "bidi",
"hidden_act": "gelu",
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"hidden_size": 768,
"id2label": {
"0": "\u05d1\u05d9\u05d8\u05d5\u05dc \u05de\u05e0\u05d5\u05d9",
"1": "\u05e9\u05d0\u05dc\u05d4 \u05db\u05dc\u05dc\u05d9\u05ea",
"2": "\u05e9\u05db\u05d7\u05ea \u05e1\u05d9\u05e1\u05de\u05d4",
"3": "\u05ea\u05de\u05d9\u05db\u05d4 \u05d8\u05db\u05e0\u05d9\u05ea"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"\u05d1\u05d9\u05d8\u05d5\u05dc \u05de\u05e0\u05d5\u05d9": 0,
"\u05e9\u05d0\u05dc\u05d4 \u05db\u05dc\u05dc\u05d9\u05ea": 1,
"\u05e9\u05db\u05d7\u05ea \u05e1\u05d9\u05e1\u05de\u05d4": 2,
"\u05ea\u05de\u05d9\u05db\u05d4 \u05d8\u05db\u05e0\u05d9\u05ea": 3
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"pooler_fc_size": 768,
"pooler_num_attention_heads": 12,
"pooler_num_fc_layers": 3,
"pooler_size_per_head": 128,
"pooler_type": "first_token_transform",
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.55.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 119547
}
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