Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use orpe42/deberta_MP_dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orpe42/deberta_MP_dynamic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="orpe42/deberta_MP_dynamic")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("orpe42/deberta_MP_dynamic") model = AutoModelForSequenceClassification.from_pretrained("orpe42/deberta_MP_dynamic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
config.json
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{
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": null,
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"dtype": "float32",
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"eos_token_id": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"id2label": {
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"101": "FOREIGN_SPECIAL_RELATIONS_POSITIVE",
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"102": "FOREIGN_SPECIAL_RELATIONS_NEGATIVE",
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"103": "ANTI_IMPERIALISM",
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"104": "MILITARY_POSITIVE",
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"105": "MILITARY_NEGATIVE",
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"106": "PEACE",
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"107": "INTERNATIONALISM_POSITIVE",
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"108": "EUROPEAN_INTEGRATION_POSITIVE",
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"109": "INTERNATIONALISM_NEGATIVE",
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"110": "EUROPEAN_INTEGRATION_NEGATIVE",
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"201": "FREEDOM_HUMAN_RIGHTS",
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"202": "DEMOCRACY_GENERAL",
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"203": "CONSTITUTIONALISM_POSITIVE",
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"204": "CONSTITUTIONALISM_NEGATIVE",
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"301": "DECENTRALISATION_POSITIVE",
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"302": "CENTRALISATION_POSITIVE",
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"303": "GOVERNMENTAL_EFFICIENCY_POSITIVE",
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"304": "POLITICAL_CORRUPTION_NEGATIVE",
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"305": "POLITICAL_AUTHORITY",
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"401": "FREE_ENTERPRISE_POSITIVE",
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"402": "INCENTIVES_POSITIVE",
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"403": "MARKET_REGULATION",
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"404": "ECONOMIC_PLANNING",
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"405": "CORPORATISM_MIXED_ECONOMY",
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"406": "PROTECTIONISM_POSITIVE",
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"407": "PROTECTIONISM_NEGATIVE",
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"408": "ECONOMIC_GOALS",
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"409": "KEYNESIAN_DEMAND_MANAGEMENT",
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"410": "PRODUCTIVITY",
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"411": "TECHNOLOGY_AND_INFRASTRUCTURE",
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"412": "CONTROLLED_ECONOMY",
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"413": "NATIONALISATION",
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"414": "ECONOMIC_ORTHODOXY",
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"415": "MARXIST_ANALYSIS",
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"416": "ANTI_GROWTH_ECONOMY_POSITIVE",
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"501": "ENVIRONMENTAL_PROTECTION",
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"502": "CULTURE",
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"503": "SOCIAL_JUSTICE",
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"504": "WELFARE_STATE_EXPANSION",
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"505": "WELFARE_STATE_LIMITATION",
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"506": "EDUCATION_EXPANSION",
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"507": "EDUCATION_LIMITATION",
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"601": "NATIONAL_WAY_OF_LIFE_POSITIVE",
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"602": "NATIONAL_WAY_OF_LIFE_NEGATIVE",
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"603": "TRADITIONAL_MORALITY_POSITIVE",
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"604": "TRADITIONAL_MORALITY_NEGATIVE",
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"605": "LAW_AND_ORDER",
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"606": "CIVIC_MINDEDNESS",
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"607": "MULTICULTURALISM_GENERAL_POSITIVE",
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"608": "MULTICULTURALISM_GENERAL_NEGATIVE",
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"701": "LABOUR_GROUPS_POSITIVE",
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"702": "LABOUR_GROUPS_NEGATIVE",
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"703": "AGRICULTURE_AND_FARMERS",
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"704": "MIDDLE_CLASS_AND_PROFESSIONALS",
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"705": "UNDERPRIVILEGED_MINORITY_GROUPS",
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"706": "NON_ECONOMIC_DEMOGRAPHIC_GROUPS"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"AGRICULTURE_AND_FARMERS": 703,
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"ANTI_GROWTH_ECONOMY_POSITIVE": 416,
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"ANTI_IMPERIALISM": 103,
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| 76 |
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"CENTRALISATION_POSITIVE": 302,
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| 77 |
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"CIVIC_MINDEDNESS": 606,
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| 78 |
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"CONSTITUTIONALISM_NEGATIVE": 204,
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| 79 |
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"CONSTITUTIONALISM_POSITIVE": 203,
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| 80 |
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"CONTROLLED_ECONOMY": 412,
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| 81 |
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"CORPORATISM_MIXED_ECONOMY": 405,
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| 82 |
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"CULTURE": 502,
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| 83 |
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"DECENTRALISATION_POSITIVE": 301,
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| 84 |
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"DEMOCRACY_GENERAL": 202,
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| 85 |
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"ECONOMIC_GOALS": 408,
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| 86 |
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"ECONOMIC_ORTHODOXY": 414,
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| 87 |
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"ECONOMIC_PLANNING": 404,
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| 88 |
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"EDUCATION_EXPANSION": 506,
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| 89 |
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"EDUCATION_LIMITATION": 507,
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| 90 |
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"ENVIRONMENTAL_PROTECTION": 501,
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| 91 |
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"EUROPEAN_INTEGRATION_NEGATIVE": 110,
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| 92 |
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"EUROPEAN_INTEGRATION_POSITIVE": 108,
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| 93 |
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"FOREIGN_SPECIAL_RELATIONS_NEGATIVE": 102,
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| 94 |
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"FOREIGN_SPECIAL_RELATIONS_POSITIVE": 101,
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| 95 |
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"FREEDOM_HUMAN_RIGHTS": 201,
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| 96 |
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"FREE_ENTERPRISE_POSITIVE": 401,
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| 97 |
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"GOVERNMENTAL_EFFICIENCY_POSITIVE": 303,
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| 98 |
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"INCENTIVES_POSITIVE": 402,
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| 99 |
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"INTERNATIONALISM_NEGATIVE": 109,
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| 100 |
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"INTERNATIONALISM_POSITIVE": 107,
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| 101 |
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"KEYNESIAN_DEMAND_MANAGEMENT": 409,
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| 102 |
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"LABOUR_GROUPS_NEGATIVE": 702,
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| 103 |
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"LABOUR_GROUPS_POSITIVE": 701,
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| 104 |
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"LAW_AND_ORDER": 605,
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| 105 |
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"MARKET_REGULATION": 403,
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| 106 |
+
"MARXIST_ANALYSIS": 415,
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| 107 |
+
"MIDDLE_CLASS_AND_PROFESSIONALS": 704,
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| 108 |
+
"MILITARY_NEGATIVE": 105,
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| 109 |
+
"MILITARY_POSITIVE": 104,
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| 110 |
+
"MULTICULTURALISM_GENERAL_NEGATIVE": 608,
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| 111 |
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"MULTICULTURALISM_GENERAL_POSITIVE": 607,
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| 112 |
+
"NATIONALISATION": 413,
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| 113 |
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"NATIONAL_WAY_OF_LIFE_NEGATIVE": 602,
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| 114 |
+
"NATIONAL_WAY_OF_LIFE_POSITIVE": 601,
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| 115 |
+
"NON_ECONOMIC_DEMOGRAPHIC_GROUPS": 706,
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| 116 |
+
"PEACE": 106,
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| 117 |
+
"POLITICAL_AUTHORITY": 305,
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| 118 |
+
"POLITICAL_CORRUPTION_NEGATIVE": 304,
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| 119 |
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"PRODUCTIVITY": 410,
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| 120 |
+
"PROTECTIONISM_NEGATIVE": 407,
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| 121 |
+
"PROTECTIONISM_POSITIVE": 406,
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| 122 |
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"SOCIAL_JUSTICE": 503,
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| 123 |
+
"TECHNOLOGY_AND_INFRASTRUCTURE": 411,
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| 124 |
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"TRADITIONAL_MORALITY_NEGATIVE": 604,
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| 125 |
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"TRADITIONAL_MORALITY_POSITIVE": 603,
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| 126 |
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"UNDERPRIVILEGED_MINORITY_GROUPS": 705,
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| 127 |
+
"WELFARE_STATE_EXPANSION": 504,
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| 128 |
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"WELFARE_STATE_LIMITATION": 505
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| 129 |
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},
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| 130 |
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"layer_norm_eps": 1e-07,
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| 131 |
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"legacy": true,
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| 132 |
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"max_position_embeddings": 512,
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| 133 |
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"max_relative_positions": -1,
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| 134 |
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"model_type": "deberta-v2",
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| 135 |
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"norm_rel_ebd": "layer_norm",
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| 136 |
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"num_attention_heads": 16,
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| 137 |
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"num_hidden_layers": 24,
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| 138 |
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"pad_token_id": 0,
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| 139 |
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"pooler_dropout": 0.0,
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| 140 |
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"pooler_hidden_act": "gelu",
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| 141 |
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"pooler_hidden_size": 1024,
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| 142 |
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"pos_att_type": [
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| 143 |
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"p2c",
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| 144 |
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"c2p"
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| 145 |
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],
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| 146 |
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"position_biased_input": false,
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| 147 |
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"position_buckets": 256,
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| 148 |
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"problem_type": "multi_label_classification",
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| 149 |
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"relative_attention": true,
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| 150 |
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"share_att_key": true,
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| 151 |
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"tie_word_embeddings": true,
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| 152 |
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"transformers_version": "5.12.1",
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| 153 |
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"type_vocab_size": 0,
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| 154 |
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"use_cache": false,
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| 155 |
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"vocab_size": 128100
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| 156 |
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:32691d885b237b5c0c32d89807e969a29adc7a8db74632e5a3fcb5dea8e9a0d5
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size 1740525856
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runs/Aug06_12-10-47_erc-hpc-vm042/events.out.tfevents.1786014647.erc-hpc-vm042.307913.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:f891a8a7f41cd6767f726fbead134dbac71ffe2d2664494d805c7f6e396cd347
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size 10558
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:8ee5d9253044ddabcb049f6a6fc7e0e46b6c22266ed774746db7562f1c6aa68b
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size 4856
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