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Update config.json
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{
"_num_labels": 3,
"activation_dropout": 0.0,
"activation_function": "gelu",
"add_bias_logits": false,
"add_final_layer_norm": false,
"architectures": [
"BartForSequenceClassification"
],
"attention_dropout": 0.0,
"bos_token_id": 0,
"classif_dropout": 0.0,
"d_model": 1024,
"decoder_attention_heads": 16,
"decoder_ffn_dim": 4096,
"decoder_layerdrop": 0.0,
"decoder_layers": 12,
"decoder_start_token_id": 2,
"dropout": 0.1,
"encoder_attention_heads": 16,
"encoder_ffn_dim": 4096,
"encoder_layerdrop": 0.0,
"encoder_layers": 12,
"eos_token_id": 2,
"extra_pos_embeddings": 2,
"id2label": {
"0": "entailment",
"1": "neutral",
"2": "contradiction"
},
"init_std": 0.02,
"is_encoder_decoder": true,
"label2id": {
"entailment": 0,
"neutral": 1,
"contradiction": 2
},
"max_position_embeddings": 1024,
"model_type": "bart",
"normalize_before": false,
"normalize_embedding": true,
"num_hidden_layers": 12,
"output_past": false,
"pad_token_id": 1,
"prefix": " ",
"scale_embedding": false,
"static_position_embeddings": false,
"task_specific_params": {
"summarization": {
"early_stopping": true,
"length_penalty": 2.0,
"max_length": 142,
"min_length": 56,
"no_repeat_ngram_size": 3,
"num_beams": 4
}
},
"vocab_size": 50265
}