| { | |
| "_name_or_path": "AutoTrain", | |
| "_num_labels": 35, | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "directionality": "bidi", | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "\u0621", | |
| "1": "\u0624", | |
| "2": "\u0627", | |
| "3": "\u0628", | |
| "4": "\u062a", | |
| "5": "\u062b", | |
| "6": "\u062c", | |
| "7": "\u062d", | |
| "8": "\u062e", | |
| "9": "\u062f", | |
| "10": "\u0630", | |
| "11": "\u0631", | |
| "12": "\u0632", | |
| "13": "\u0633", | |
| "14": "\u0634", | |
| "15": "\u0635", | |
| "16": "\u0636", | |
| "17": "\u0637", | |
| "18": "\u0637\u0646", | |
| "19": "\u0638", | |
| "20": "\u0639", | |
| "21": "\u063a", | |
| "22": "\u0641", | |
| "23": "\u0642", | |
| "24": "\u0643", | |
| "25": "\u0644", | |
| "26": "\u0644\u0627", | |
| "27": "\u0645", | |
| "28": "\u0646", | |
| "29": "\u0647", | |
| "30": "\u0647\u0640", | |
| "31": "\u0647\u0646", | |
| "32": "\u0648", | |
| "33": "\u0649", | |
| "34": "\u064a" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "\u0621": 0, | |
| "\u0624": 1, | |
| "\u0627": 2, | |
| "\u0628": 3, | |
| "\u062a": 4, | |
| "\u062b": 5, | |
| "\u062c": 6, | |
| "\u062d": 7, | |
| "\u062e": 8, | |
| "\u062f": 9, | |
| "\u0630": 10, | |
| "\u0631": 11, | |
| "\u0632": 12, | |
| "\u0633": 13, | |
| "\u0634": 14, | |
| "\u0635": 15, | |
| "\u0636": 16, | |
| "\u0637": 17, | |
| "\u0637\u0646": 18, | |
| "\u0638": 19, | |
| "\u0639": 20, | |
| "\u063a": 21, | |
| "\u0641": 22, | |
| "\u0642": 23, | |
| "\u0643": 24, | |
| "\u0644": 25, | |
| "\u0644\u0627": 26, | |
| "\u0645": 27, | |
| "\u0646": 28, | |
| "\u0647": 29, | |
| "\u0647\u0640": 30, | |
| "\u0647\u0646": 31, | |
| "\u0648": 32, | |
| "\u0649": 33, | |
| "\u064a": 34 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_length": 64, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "padding": "max_length", | |
| "pooler_fc_size": 768, | |
| "pooler_num_attention_heads": 12, | |
| "pooler_num_fc_layers": 3, | |
| "pooler_size_per_head": 128, | |
| "pooler_type": "first_token_transform", | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.15.0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 50000 | |
| } | |