Upload config
Browse files- config.json +8 -5
config.json
CHANGED
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@@ -1,15 +1,20 @@
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{
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"_name_or_path": "prajjwal1/bert-tiny",
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"architectures": [
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"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": 128,
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"initializer_range": 0.02,
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"intermediate_size": 512,
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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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@@ -17,8 +22,6 @@
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"num_hidden_layers": 2,
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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": "4.35.2",
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"type_vocab_size": 2,
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"use_cache": true,
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{
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"_name_or_path": "prajjwal1/bert-tiny",
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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": 128,
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"id2label": {
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"0": "Taken",
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"1": "Not Taken"
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},
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"label2id": {
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"Not Taken": 1,
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"Taken": 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_hidden_layers": 2,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.35.2",
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"type_vocab_size": 2,
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"use_cache": true,
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