e54essaykompov_v0 / config.json
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{
"_name_or_path": "intfloat/multilingual-e5-small",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 384,
"id2label": {
"0": "1",
"1": "2",
"2": "3",
"3": "4",
"4": "5",
"5": "6",
"6": "7",
"7": "8",
"8": "9",
"9": "10"
},
"initializer_range": 0.02,
"intermediate_size": 1536,
"label2id": {
"1": 0,
"10": 9,
"2": 1,
"3": 2,
"4": 3,
"5": 4,
"6": 5,
"7": 6,
"8": 7,
"9": 8
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"tokenizer_class": "XLMRobertaTokenizer",
"torch_dtype": "float32",
"transformers_version": "4.44.2",
"type_vocab_size": 2,
"use_cache": false,
"vocab_size": 250037
}