config.json

{
 "_name_or_path": "TimSchopf/nlp_taxonomy_classifier",
 "adapters": {
 "adapters": {},
 "config_map": {},
 "fusion_config_map": {},
 "fusions": {}
 },
 "architectures": [
 "BertForSequenceClassification"
 ],
 "attention_probs_dropout_prob": 0.1,
 "classifier_dropout": null,
 "hidden_act": "gelu",
 "hidden_dropout_prob": 0.1,
 "hidden_size": 768,
 "id2label": {
 "0": "Multilinguality",
 "1": "Term Extraction",
 "2": "Cognitive Modeling",
 "3": "Information Extraction & Text Mining",
 "4": "Responsible & Trustworthy NLP",
 "5": "Numerical Reasoning",
 "6": "Phonology",
 "7": "Code-Switching",
 "8": "Reasoning",
 "9": "Topic Modeling",
 "10": "Speech Recognition",
 "11": "Natural Language Interfaces",
 "12": "Representation Learning",
 "13": "Coreference Resolution",
 "14": "Dialogue Response Generation",
 "15": "Syntactic Text Processing",
 "16": "Data-to-Text Generation",
 "17": "Ethical NLP",
 "18": "Knowledge Representation",
 "19": "Cross-Lingual Transfer",
 "20": "Visual Data in NLP",
 "21": "Text Segmentation",
 "22": "Textual Inference",
 "23": "Aspect-based Sentiment Analysis",
 "24": "Information Retrieval",
 "25": "Open Information Extraction",
 "26": "Text Error Correction",
 "27": "Question Answering",
 "28": "Syntactic Parsing",
 "29": "Text Clustering",
 "30": "Summarization",
 "31": "Event Extraction",
 "32": "Paraphrasing",
 "33": "Polarity Analysis",
 "34": "Named Entity Recognition",
 "35": "Text Style Transfer",
 "36": "Text Classification",
 "37": "Machine Reading Comprehension",
 "38": "Dialogue Systems & Conversational Agents",
 "39": "Captioning",
 "40": "Semantic Parsing",
 "41": "Semantic Search",
 "42": "Text Complexity",
 "43": "Chunking",
 "44": "Code Generation",
 "45": "Typology",
 "46": "Fact & Claim Verification",
 "47": "Text Generation",
 "48": "Linguistics & Cognitive NLP",
 "49": "Opinion Mining",
 "50": "Structured Data in NLP",
 "51": "Machine Translation",
 "52": "Language Models",
 "53": "Semantic Similarity",
 "54": "Knowledge Graph Reasoning",
 "55": "Programming Languages in NLP",
 "56": "Document Retrieval",
 "57": "Linguistic Theories",
 "58": "Robustness in NLP",
 "59": "Text Normalization",
 "60": "Argument Mining",
 "61": "Emotion Analysis",
 "62": "Commonsense Reasoning",
 "63": "Tagging",
 "64": "Phonetics",
 "65": "Word Sense Disambiguation",
 "66": "Passage Retrieval",
 "67": "Stylistic Analysis",
 "68": "Green & Sustainable NLP",
 "69": "Indexing",
 "70": "Speech & Audio in NLP",
 "71": "Discourse & Pragmatics",
 "72": "Semantic Text Processing",
 "73": "Morphology",
 "74": "Multimodality",
 "75": "Relation Extraction",
 "76": "Question Generation",
 "77": "Psycholinguistics",
 "78": "Sentiment Analysis",
 "79": "Intent Recognition",
 "80": "Low-Resource NLP",
 "81": "Explainability & Interpretability in NLP"
 },
 "initializer_range": 0.02,
 "intermediate_size": 3072,
 "label2id": {
 "Argument Mining": 60,
 "Aspect-based Sentiment Analysis": 23,
 "Captioning": 39,
 "Chunking": 43,
 "Code Generation": 44,
 "Code-Switching": 7,
 "Cognitive Modeling": 2,
 "Commonsense Reasoning": 62,
 "Coreference Resolution": 13,
 "Cross-Lingual Transfer": 19,
 "Data-to-Text Generation": 16,
 "Dialogue Response Generation": 14,
 "Dialogue Systems & Conversational Agents": 38,
 "Discourse & Pragmatics": 71,
 "Document Retrieval": 56,
 "Emotion Analysis": 61,
 "Ethical NLP": 17,
 "Event Extraction": 31,
 "Explainability & Interpretability in NLP": 81,
 "Fact & Claim Verification": 46,
 "Green & Sustainable NLP": 68,
 "Indexing": 69,
 "Information Extraction & Text Mining": 3,
 "Information Retrieval": 24,
 "Intent Recognition": 79,
 "Knowledge Graph Reasoning": 54,
 "Knowledge Representation": 18,
 "Language Models": 52,
 "Linguistic Theories": 57,
 "Linguistics & Cognitive NLP": 48,
 "Low-Resource NLP": 80,
 "Machine Reading Comprehension": 37,
 "Machine Translation": 51,
 "Morphology": 73,
 "Multilinguality": 0,
 "Multimodality": 74,
 "Named Entity Recognition": 34,
 "Natural Language Interfaces": 11,
 "Numerical Reasoning": 5,
 "Open Information Extraction": 25,
 "Opinion Mining": 49,
 "Paraphrasing": 32,
 "Passage Retrieval": 66,
 "Phonetics": 64,
 "Phonology": 6,
 "Polarity Analysis": 33,
 "Programming Languages in NLP": 55,
 "Psycholinguistics": 77,
 "Question Answering": 27,
 "Question Generation": 76,
 "Reasoning": 8,
 "Relation Extraction": 75,
 "Representation Learning": 12,
 "Responsible & Trustworthy NLP": 4,
 "Robustness in NLP": 58,
 "Semantic Parsing": 40,
 "Semantic Search": 41,
 "Semantic Similarity": 53,
 "Semantic Text Processing": 72,
 "Sentiment Analysis": 78,
 "Speech & Audio in NLP": 70,
 "Speech Recognition": 10,
 "Structured Data in NLP": 50,
 "Stylistic Analysis": 67,
 "Summarization": 30,
 "Syntactic Parsing": 28,
 "Syntactic Text Processing": 15,
 "Tagging": 63,
 "Term Extraction": 1,
 "Text Classification": 36,
 "Text Clustering": 29,
 "Text Complexity": 42,
 "Text Error Correction": 26,
 "Text Generation": 47,
 "Text Normalization": 59,
 "Text Segmentation": 21,
 "Text Style Transfer": 35,
 "Textual Inference": 22,
 "Topic Modeling": 9,
 "Typology": 45,
 "Visual Data in NLP": 20,
 "Word Sense Disambiguation": 65
 },
 "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": "multi_label_classification",
 "torch_dtype": "float32",
 "transformers_version": "4.24.0",
 "type_vocab_size": 2,
 "use_cache": true,
 "vocab_size": 31090
}