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{ |
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"_name_or_path": "AutoNLP", |
|
"_num_labels": 5, |
|
"architectures": [ |
|
"BertForSequenceClassification" |
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], |
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"attention_probs_dropout_prob": 0.1, |
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"gradient_checkpointing": false, |
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"hidden_act": "gelu", |
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"hidden_dropout_prob": 0.1, |
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"hidden_size": 768, |
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"id2label": { |
|
"0": "average", |
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"1": "bad", |
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"2": "good", |
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"3": "hit", |
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"4": "worst" |
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}, |
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"initializer_range": 0.02, |
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"intermediate_size": 3072, |
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"label2id": { |
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"average": 0, |
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"bad": 1, |
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"good": 2, |
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"hit": 3, |
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"worst": 4 |
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}, |
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"layer_norm_eps": 1e-12, |
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"max_length": 384, |
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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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"output_past": true, |
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"pad_token_id": 1, |
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"padding": "max_length", |
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"position_embedding_type": "absolute", |
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"transformers_version": "4.5.1", |
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"type_vocab_size": 2, |
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"use_cache": true, |
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"vocab_size": 31002 |
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} |
|
|