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Upload XLMRobertaForSequenceClassification
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{
"_name_or_path": "/content/xlm-roberta-base_genre_classifier",
"architectures": [
"XLMRobertaForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "Art and Photography",
"1": "Education and Teaching",
"2": "Engineering and Transportation",
"3": "Fiction",
"4": "Hardware, DIY, and Home",
"5": "History",
"6": "Politics and Social Sciences",
"7": "References, Guides and Self-Help",
"8": "Religion",
"9": "Science and Math"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Art and Photography": 0,
"Education and Teaching": 1,
"Engineering and Transportation": 2,
"Fiction": 3,
"Hardware, DIY, and Home": 4,
"History": 5,
"Politics and Social Sciences": 6,
"References, Guides and Self-Help": 7,
"Religion": 8,
"Science and Math": 9
},
"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",
"torch_dtype": "float32",
"transformers_version": "4.30.2",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}