bart-base-python-1m / config.json
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{
"activation_dropout": 0.0,
"activation_function": "gelu",
"architectures": [
"BartForConditionalGeneration"
],
"attention_dropout": 0.0,
"bos_token_id": 0,
"classifier_dropout": 0.0,
"d_model": 768,
"decoder_attention_heads": 16,
"decoder_ffn_dim": 3072,
"decoder_layerdrop": 0.0,
"decoder_layers": 8,
"decoder_start_token_id": 2,
"dropout": 0.1,
"encoder_attention_heads": 16,
"encoder_ffn_dim": 3072,
"encoder_layerdrop": 0.0,
"encoder_layers": 8,
"eos_token_id": 2,
"force_bos_token_to_be_generated": false,
"gradient_checkpointing": false,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2"
},
"init_std": 0.02,
"is_encoder_decoder": true,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2
},
"max_position_embeddings": 512,
"model_type": "bart",
"num_hidden_layers": 8,
"pad_token_id": 1,
"scale_embedding": false,
"transformers_version": "4.2.1",
"use_cache": true,
"vocab_size": 20009
}