| { |
| "_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 |
| } |
|
|
