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{ |
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"_name_or_path": "bert-base-cased", |
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"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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"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": "happy", |
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"1": "excited", |
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"2": "sad", |
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"3": "angry", |
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"4": "numb" |
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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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"happy": 0, |
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"excited": 1, |
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"sad": 2, |
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"angry": 3, |
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"numb": 4 |
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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": "4.28.1", |
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"type_vocab_size": 2, |
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"use_cache": true, |
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"vocab_size": 28996 |
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} |
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|