Update config.json
Browse files- config.json +5 -26
config.json
CHANGED
@@ -1,52 +1,31 @@
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{
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"architectures": [
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"AlbertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0,
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"classifier_dropout_prob": 0.1,
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"do_sample": false,
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"down_scale_factor": 1,
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"embedding_size": 128,
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"
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"gap_size": 0,
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"hidden_act": "gelu_new",
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"hidden_dropout_prob": 0,
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"hidden_size": 1024,
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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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"inner_group_num": 1,
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"intermediate_size": 4096,
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"is_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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"model_type": "albert",
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"net_structure_type": 0,
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"num_attention_heads": 16,
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"num_beams": 1,
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"num_hidden_groups": 1,
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"num_hidden_layers": 24,
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"num_labels": 13,
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"num_memory_blocks": 0,
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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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"
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"repetition_penalty": 1.0,
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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": 30000
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}
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{
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"_num_labels": 13,
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"architectures": [
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"AlbertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0,
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"bos_token_id": 2,
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"classifier_dropout_prob": 0.1,
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"down_scale_factor": 1,
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"embedding_size": 128,
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"eos_token_id": 3,
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"gap_size": 0,
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"hidden_act": "gelu_new",
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"hidden_dropout_prob": 0,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "albert",
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"net_structure_type": 0,
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"num_attention_heads": 16,
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"num_hidden_groups": 1,
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"num_hidden_layers": 24,
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"num_memory_blocks": 0,
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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": 30000
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}
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