bart-large/config.json

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{
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"activation_dropout": 0.1,
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"activation_function": "gelu",
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"add_bias_logits": false,
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"add_final_layer_norm": false,
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"architectures": [
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"BartModel"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 0,
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"classif_dropout": 0.1,
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"classifier_dropout": 0.0,
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"d_model": 1024,
"decoder_attention_heads": 16,
"decoder_ffn_dim": 4096,
"decoder_layerdrop": 0.0,
"decoder_layers": 12,
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"decoder_start_token_id": 2,
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"dropout": 0.1,
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"early_stopping": true,
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"encoder_attention_heads": 16,
"encoder_ffn_dim": 4096,
"encoder_layerdrop": 0.0,
"encoder_layers": 12,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
"gradient_checkpointing": false,
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"id2label": {
"0": "LABEL_0",
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"1": "LABEL_1",
"2": "LABEL_2"
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},
"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
"LABEL_0": 0,
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"LABEL_1": 1,
"LABEL_2": 2
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},
"max_position_embeddings": 1024,
"model_type": "bart",
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"no_repeat_ngram_size": 3,
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"normalize_before": false,
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"num_beams": 4,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
"scale_embedding": false,
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"task_specific_params": {
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"summarization": {
"length_penalty": 1.0,
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"max_length": 128,
"min_length": 12,
"num_beams": 4
},
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"summarization_cnn": {
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"length_penalty": 2.0,
"max_length": 142,
"min_length": 56,
"num_beams": 4
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},
"summarization_xsum": {
"length_penalty": 1.0,
"max_length": 62,
"min_length": 11,
"num_beams": 6
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}
},
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"transformers_version": "4.7.0.dev0",
"use_cache": true,
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"vocab_size": 50265
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}