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{
"_name_or_path": "AutoTrain",
"_num_labels": 8,
"architectures": [
"CamembertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
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"eos_token_id": 2,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "Applied Science",
"1": "Arts",
"2": "Belief & Thought",
"3": "Commerce & Finance",
"4": "History",
"5": "Imaginative",
"6": "Natural & Pure Science",
"7": "Social Science "
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Applied Science": 0,
"Arts": 1,
"Belief & Thought": 2,
"Commerce & Finance": 3,
"History": 4,
"Imaginative": 5,
"Natural & Pure Science": 6,
"Social Science ": 7
},
"layer_norm_eps": 1e-12,
"max_length": 256,
"max_position_embeddings": 512,
"model_type": "camembert",
"num_attention_head": 12,
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"padding": "max_length",
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.15.0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 25005
}