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Add BERT-CNN reward caption reranker with evaluation
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{
"architectures": [
"VisualRelatednessModel"
],
"model_type": "bert-cnn-caption-reranker",
"bert_config": {
"return_dict": true,
"output_hidden_states": false,
"dtype": "float32",
"chunk_size_feed_forward": 0,
"is_encoder_decoder": false,
"architectures": [
"BertForMaskedLM"
],
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1
},
"problem_type": null,
"_name_or_path": "models/bert-base-uncased",
"transformers_version": "5.3.0",
"gradient_checkpointing": false,
"model_type": "bert",
"position_embedding_type": "absolute",
"pad_token_id": 0,
"is_decoder": false,
"add_cross_attention": false,
"bos_token_id": null,
"eos_token_id": null,
"tie_word_embeddings": true,
"vocab_size": 30522,
"hidden_size": 768,
"num_hidden_layers": 12,
"num_attention_heads": 12,
"hidden_act": "gelu",
"intermediate_size": 3072,
"hidden_dropout_prob": 0.1,
"attention_probs_dropout_prob": 0.1,
"max_position_embeddings": 512,
"type_vocab_size": 2,
"initializer_range": 0.02,
"layer_norm_eps": 1e-12,
"use_cache": true,
"classifier_dropout": null,
"output_attentions": false
},
"model_options": {
"architecture": "bert-cnn",
"seq_len": 64,
"cnn_filters": 32,
"cnn_kernel_size": 3,
"num_bert_layers": 12,
"tune_embeddings": false
},
"rank_prior": {
"bias": [
2.5842955112457275,
-0.21887986361980438,
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-3.491527795791626,
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],
"weight": 3.2007904052734375
},
"score": "bias[beam position] + weight * BERT-CNN logit; beam positions 1..9 in beam-search order"
}