CAMeL-Lab/text-editing-coda

1{2  "_name_or_path": "/scratch/ba63/BERT_models/bert-base-arabertv02",3  "architectures": [4    "BertForTokenClassificationSingleLabel"5  ],6  "attention_probs_dropout_prob": 0.1,7  "classifier_dropout": null,8  "hidden_act": "gelu",9  "hidden_dropout_prob": 0.1,10  "hidden_size": 768,11  "id2label": {12    "0": "D*",13    "1": "DK*",14    "2": "D*KI_[\u0630\u0627]",15    "3": "D*KI_[\u0646]K",16    "4": "I_[ ]K*",17    "5": "I_[ \u0627]K*",18    "6": "I_[\u0627]K*",19    "7": "I_[\u0627]KI_[\u0627]K*",20    "8": "I_[\u0627]KI_[\u0644]K*",21    "9": "I_[ \u0627\u0644]K*",22    "10": "I_[\u0627\u0644]K*",23    "11": "I_[ \u0644]K*",24    "12": "I_[\u0647]K*",25    "13": "I_[\u064a]K*",26    "14": "K*",27    "15": "K*D",28    "16": "K*DK",29    "17": "KDK*",30    "18": "K*DKKK",31    "19": "K*I_[ ]K",32    "20": "KI_[ ]K*",33    "21": "K*I_[\u0627]",34    "22": "K*I_[\u0627]K",35    "23": "KI_[\u0627 ]K*",36    "24": "KI_[\u0627]K*",37    "25": "K*I_[\u0627]KI_[\u0644]K",38    "26": "KI_[\u0627\u0644]K*",39    "27": "K*I_[\u0644]K",40    "28": "KI_[\u0644]K*",41    "29": "K*I_[\u0646]K",42    "30": "KI_[\u0646]K*",43    "31": "K*I_[\u0647]",44    "32": "K*I_[\u0647]K",45    "33": "K*I_[\u0648]K",46    "34": "K*I_[\u064a]K",47    "35": "KI_[\u064a]K*",48    "36": "KKI_[ ]K*",49    "37": "KKI_[ \u0627]K*",50    "38": "KKI_[\u0627]K*",51    "39": "KKKR_[\u0627]K*",52    "40": "KKR_[\u0627]K*",53    "41": "K*R_[ ]",54    "42": "K*R_[\u0622]K",55    "43": "K*R_[\u0627]",56    "44": "KR_[\u0627]K*",57    "45": "K*R_[\u0629]",58    "46": "K*R_[\u062b]",59    "47": "K*R_[\u062b]K",60    "48": "K*R_[\u062b]KK",61    "49": "K*R_[\u0630]",62    "50": "K*R_[\u0638]",63    "51": "K*R_[\u0639]",64    "52": "K*R_[\u0642]",65    "53": "K*R_[\u0642]K",66    "54": "K*R_[\u0647]",67    "55": "K*R_[\u0649]",68    "56": "K*R_[\u064a]",69    "57": "MI_[\u0627]K*",70    "58": "MK*",71    "59": "MK*R_[\u0629]",72    "60": "MR_[\u0627]K*",73    "61": "MR_[\u062b]K*",74    "62": "R_[\u0622]K*",75    "63": "R_[\u0627]",76    "64": "R_[\u0627]K*",77    "65": "R_[\u0627]K*I_[\u0644]K",78    "66": "R_[\u0627]K*R_[\u062b]",79    "67": "R_[\u0629]",80    "68": "R_[\u062a]I_[\u0634]K*",81    "69": "R_[\u062a]K*",82    "70": "R_[\u062a]R_[\u0639]K*",83    "71": "R_[\u062b]",84    "72": "R_[\u062b]K*",85    "73": "R_[\u062b]R_[\u0629]",86    "74": "R_[\u0630]",87    "75": "R_[\u0630]K*",88    "76": "R_[\u0638]K*",89    "77": "R_[\u063a]K*",90    "78": "R_[\u0642]",91    "79": "R_[\u0642]K*",92    "80": "R_[\u0643]K*",93    "81": "R_[\u0647]",94    "82": "R_[\u0649]",95    "83": "R_[\u064a]"96  },97  "initializer_range": 0.02,98  "intermediate_size": 3072,99  "label2id": {100    "D*": 0,101    "D*KI_[\u0630\u0627]": 2,102    "D*KI_[\u0646]K": 3,103    "DK*": 1,104    "I_[ ]K*": 4,105    "I_[ \u0627]K*": 5,106    "I_[ \u0627\u0644]K*": 9,107    "I_[ \u0644]K*": 11,108    "I_[\u0627]K*": 6,109    "I_[\u0627]KI_[\u0627]K*": 7,110    "I_[\u0627]KI_[\u0644]K*": 8,111    "I_[\u0627\u0644]K*": 10,112    "I_[\u0647]K*": 12,113    "I_[\u064a]K*": 13,114    "K*": 14,115    "K*D": 15,116    "K*DK": 16,117    "K*DKKK": 18,118    "K*I_[ ]K": 19,119    "K*I_[\u0627]": 21,120    "K*I_[\u0627]K": 22,121    "K*I_[\u0627]KI_[\u0644]K": 25,122    "K*I_[\u0644]K": 27,123    "K*I_[\u0646]K": 29,124    "K*I_[\u0647]": 31,125    "K*I_[\u0647]K": 32,126    "K*I_[\u0648]K": 33,127    "K*I_[\u064a]K": 34,128    "K*R_[ ]": 41,129    "K*R_[\u0622]K": 42,130    "K*R_[\u0627]": 43,131    "K*R_[\u0629]": 45,132    "K*R_[\u062b]": 46,133    "K*R_[\u062b]K": 47,134    "K*R_[\u062b]KK": 48,135    "K*R_[\u0630]": 49,136    "K*R_[\u0638]": 50,137    "K*R_[\u0639]": 51,138    "K*R_[\u0642]": 52,139    "K*R_[\u0642]K": 53,140    "K*R_[\u0647]": 54,141    "K*R_[\u0649]": 55,142    "K*R_[\u064a]": 56,143    "KDK*": 17,144    "KI_[ ]K*": 20,145    "KI_[\u0627 ]K*": 23,146    "KI_[\u0627]K*": 24,147    "KI_[\u0627\u0644]K*": 26,148    "KI_[\u0644]K*": 28,149    "KI_[\u0646]K*": 30,150    "KI_[\u064a]K*": 35,151    "KKI_[ ]K*": 36,152    "KKI_[ \u0627]K*": 37,153    "KKI_[\u0627]K*": 38,154    "KKKR_[\u0627]K*": 39,155    "KKR_[\u0627]K*": 40,156    "KR_[\u0627]K*": 44,157    "MI_[\u0627]K*": 57,158    "MK*": 58,159    "MK*R_[\u0629]": 59,160    "MR_[\u0627]K*": 60,161    "MR_[\u062b]K*": 61,162    "R_[\u0622]K*": 62,163    "R_[\u0627]": 63,164    "R_[\u0627]K*": 64,165    "R_[\u0627]K*I_[\u0644]K": 65,166    "R_[\u0627]K*R_[\u062b]": 66,167    "R_[\u0629]": 67,168    "R_[\u062a]I_[\u0634]K*": 68,169    "R_[\u062a]K*": 69,170    "R_[\u062a]R_[\u0639]K*": 70,171    "R_[\u062b]": 71,172    "R_[\u062b]K*": 72,173    "R_[\u062b]R_[\u0629]": 73,174    "R_[\u0630]": 74,175    "R_[\u0630]K*": 75,176    "R_[\u0638]K*": 76,177    "R_[\u063a]K*": 77,178    "R_[\u0642]": 78,179    "R_[\u0642]K*": 79,180    "R_[\u0643]K*": 80,181    "R_[\u0647]": 81,182    "R_[\u0649]": 82,183    "R_[\u064a]": 83184  },185  "layer_norm_eps": 1e-12,186  "max_position_embeddings": 512,187  "model_type": "bert",188  "num_attention_heads": 12,189  "num_hidden_layers": 12,190  "pad_token_id": 0,191  "position_embedding_type": "absolute",192  "torch_dtype": "float32",193  "transformers_version": "4.30.0",194  "type_vocab_size": 2,195  "use_cache": true,196  "vocab_size": 64000197}198