Update config.json
Browse files- config.json +0 -35
config.json
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{
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"_num_labels": 2,
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"architectures": [
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"BertForPreTraining"
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],
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"attention_probs_dropout_prob": 0.1,
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"bad_words_ids": null,
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"bos_token_id": null,
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"decoder_start_token_id": null,
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"do_sample": false,
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"early_stopping": false,
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"eos_token_id": null,
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"finetuning_task": null,
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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": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_decoder": false,
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"layer_norm_eps": 1e-12,
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"length_penalty": 1.0,
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"max_length": 20,
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"max_position_embeddings": 512,
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"min_length": 0,
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"model_type": "bert",
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"no_repeat_ngram_size": 0,
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"num_attention_heads": 12,
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"num_beams": 1,
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"num_hidden_layers": 12,
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"num_return_sequences": 1,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_past": true,
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"pad_token_id": 0,
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"prefix": null,
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"pruned_heads": {},
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"repetition_penalty": 1.0,
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"task_specific_params": null,
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"temperature": 1.0,
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"top_k": 50,
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"top_p": 1.0,
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"torchscript": false,
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"type_vocab_size": 2,
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"use_bfloat16": false,
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"vocab_size": 60000
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}
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{
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"architectures": [
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"BertForPreTraining"
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],
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"attention_probs_dropout_prob": 0.1,
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"output_past": true,
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"pad_token_id": 0,
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"type_vocab_size": 2,
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"vocab_size": 60000
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}
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