|
{ |
|
"_name_or_path": "AutoNLP", |
|
"_num_labels": 1, |
|
"architectures": [ |
|
"BertForSequenceClassification" |
|
], |
|
"attention_probs_dropout_prob": 0.1, |
|
"gradient_checkpointing": false, |
|
"hidden_act": "gelu", |
|
"hidden_dropout_prob": 0.1, |
|
"hidden_size": 768, |
|
"id2label": { |
|
"0": "target" |
|
}, |
|
"initializer_range": 0.02, |
|
"intermediate_size": 3072, |
|
"label2id": { |
|
"target": "0" |
|
}, |
|
"layer_norm_eps": 1e-12, |
|
"max_length": 128, |
|
"max_position_embeddings": 512, |
|
"model_type": "bert", |
|
"num_attention_heads": 12, |
|
"num_hidden_layers": 12, |
|
"output_past": true, |
|
"pad_token_id": 0, |
|
"padding": "max_length", |
|
"position_embedding_type": "absolute", |
|
"problem_type": "regression", |
|
"transformers_version": "4.8.0", |
|
"type_vocab_size": 2, |
|
"use_cache": true, |
|
"vocab_size": 31102 |
|
} |
|
|