|
{ |
|
"architectures": [ |
|
"AlbertForSequenceClassification" |
|
], |
|
"problem_type": "multi_label_classification", |
|
"id2label": { |
|
"0": "toxic", |
|
"1": "severe_toxic", |
|
"2": "obscene", |
|
"3": "threat", |
|
"4": "insult", |
|
"5": "identity_hate" |
|
}, |
|
"label2id": { |
|
"toxic": 0, |
|
"severe_toxic": 1, |
|
"obscene": 2, |
|
"threat": 3, |
|
"insult": 4, |
|
"identity_hate": 5 |
|
}, |
|
"attention_probs_dropout_prob": 0, |
|
"bos_token_id": 2, |
|
"classifier_dropout_prob": 0.1, |
|
"down_scale_factor": 1, |
|
"embedding_size": 128, |
|
"eos_token_id": 3, |
|
"gap_size": 0, |
|
"hidden_act": "gelu_new", |
|
"hidden_dropout_prob": 0, |
|
"hidden_size": 768, |
|
"initializer_range": 0.02, |
|
"inner_group_num": 1, |
|
"intermediate_size": 3072, |
|
"layer_norm_eps": 1e-12, |
|
"max_position_embeddings": 512, |
|
"model_type": "albert", |
|
"net_structure_type": 0, |
|
"num_attention_heads": 12, |
|
"num_hidden_groups": 1, |
|
"num_hidden_layers": 12, |
|
"num_memory_blocks": 0, |
|
"pad_token_id": 0, |
|
"type_vocab_size": 2, |
|
"vocab_size": 30000 |
|
} |
|
|