Ontocord.AI
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Upload XLMRobertaForSequenceClassification
Browse files- config.json +52 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "/content/xlm-roberta-base_genre_classifier",
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"architectures": [
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"XLMRobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "Art and Photography",
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"1": "Education and Teaching",
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"2": "Engineering and Transportation",
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"3": "Fiction",
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"4": "Hardware, DIY, and Home",
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"5": "History",
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"6": "Politics and Social Sciences",
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"7": "References, Guides and Self-Help",
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"8": "Religion",
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"9": "Science and Math"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Art and Photography": 0,
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"Education and Teaching": 1,
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"Engineering and Transportation": 2,
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"Fiction": 3,
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"Hardware, DIY, and Home": 4,
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"History": 5,
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"Politics and Social Sciences": 6,
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"References, Guides and Self-Help": 7,
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"Religion": 8,
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"Science and Math": 9
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.30.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1ef8fe9fb55691da61c7cff13a5983d7407d90ea51c1db3c6698c343b7f711d4
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size 1112275893
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