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{
"_name_or_path": "xlm-roberta-base",
"architectures": [
"XLMRobertaForSequenceClassification"
],
"model_type": "xlm-roberta",
"tokenizer_class": "XLMRobertaTokenizer",
"task_specific_params": {
"text-classification": {
"num_labels": 2,
"id2label": {
"0": "HUMAN",
"1": "AI"
},
"label2id": {
"HUMAN": 0,
"AI": 1
}
}
},
"text_config": {
"max_length": 512,
"padding": "max_length",
"truncation": true,
"return_tensors": "pt"
},
"preprocessing": {
"do_lower_case": false,
"strip_accents": false,
"add_special_tokens": true,
"padding": true,
"truncation": true,
"max_length": 512
},
"special_tokens": {
"bos_token": "<s>",
"eos_token": "</s>",
"unk_token": "<unk>",
"sep_token": "</s>",
"pad_token": "<pad>",
"cls_token": "<s>",
"mask_token": "<mask>"
},
"tokenizer_settings": {
"clean_up_tokenization_spaces": true,
"model_max_length": 512,
"padding_side": "right",
"truncation_side": "right",
"return_attention_mask": true,
"return_token_type_ids": false
},
"inference_config": {
"return_all_scores": true,
"output_hidden_states": false,
"output_attentions": false,
"return_dict": true,
"problem_type": "single_label_classification"
},
"model_params": {
"attention_probs_dropout_prob": 0.1,
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"intermediate_size": 3072,
"max_position_embeddings": 514,
"num_attention_heads": 12,
"num_hidden_layers": 12,
"type_vocab_size": 1,
"vocab_size": 250002,
"layer_norm_eps": 1e-05
}
} |