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{ |
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"_name_or_path": "microsoft/MiniLM-L12-H384-uncased", |
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"architectures": [ |
|
"BertForSequenceClassification" |
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], |
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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": "Anecdote", |
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"1": "Assumption", |
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"2": "Definition", |
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"3": "None", |
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"4": "Other", |
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"5": "Statistics/Study", |
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"6": "Testimony" |
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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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"Anecdote": 0, |
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"Assumption": 1, |
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"Definition": 2, |
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"None": 3, |
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"Other": 4, |
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"Statistics/Study": 5, |
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"Testimony": 6 |
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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": 12, |
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"pad_token_id": 0, |
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"position_embedding_type": "absolute", |
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"problem_type": "single_label_classification", |
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"torch_dtype": "float32", |
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"transformers_version": "4.19.2", |
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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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|