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{ |
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"_name_or_path": "nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Large", |
|
"architectures": [ |
|
"BertForSequenceClassification" |
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], |
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"attention_probs_dropout_prob": 0.1, |
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"classifier_dropout": null, |
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"hidden_act": "gelu", |
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"hidden_dropout_prob": 0.1, |
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"hidden_size": 384, |
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"id2label": { |
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"0": "toxic", |
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"1": "severe_toxic", |
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"2": "obscene", |
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"3": "threat", |
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"4": "insult", |
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"5": "identity_hate" |
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}, |
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"initializer_range": 0.02, |
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"intermediate_size": 1536, |
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"label2id": { |
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"identity_hate": "5", |
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"insult": "4", |
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"obscene": "2", |
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"severe_toxic": "1", |
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"threat": "3", |
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"toxic": "0" |
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}, |
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"layer_norm_eps": 1e-12, |
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"max_position_embeddings": 512, |
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"model_type": "bert", |
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"num_attention_heads": 12, |
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"num_hidden_layers": 6, |
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"pad_token_id": 0, |
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"position_embedding_type": "absolute", |
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"problem_type": "multi_label_classification", |
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"torch_dtype": "float32", |
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"transformers_version": "4.35.0", |
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"type_vocab_size": 2, |
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"use_cache": true, |
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"vocab_size": 30522 |
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} |
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|