Transformers
PyTorch
English
bridgetower
Inference Endpoints
File size: 1,622 Bytes
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{
		
	"cache_dir":"/tmp",
        "downstream_fusion":false,
        "downstream_fusion_layers":1,
        "downstream_fusion_method":"elmo",
        "drop_rate":0.1,
        "freeze_RoBERTa":false,
        "freeze_ViT":false,
        "freeze_layer_count_roberta":false,
        "freeze_layer_count_vit":false,
        "head_hidden_scale":2,
        "hidden_size":768,
        "image_size":288,
        "input_text_embed_size":768,
        "link_tower_shared":false,
        "link_tower_type":"add",
        "log_dir":"log_dir",
        "loss_names":{"contras": 0,
                "irtr": 0,
                "itm": 0,
                "mlm": 0,
                "mpp": 0,
                "nlvr2": 0,
                "snli": 0,
                "vcr": 0,
                "vcr_qar": 0,
                "vqa": 1},
        "max_text_len":50,
        "mlp_ratio":4,
        "model_type":"bridgetower",
        "num_heads":12,
        "num_layers":6,
        "num_nodes":1,
        "only_load_cross_modal_from_meter":false,
        "patch_size":16,
        "resolution_before":224,
        "stop_gradient":false,
        "task_head_layers":2,
        "test_only":false,
        "tokenizer":"roberta-base",
        "unfreeze_RoBERTa_attention":false,
        "unfreeze_RoBERTa_embeddings":false,
        "unfreeze_RoBERTa_encoder":false,
        "unfreeze_RoBERTa_layernorm":false,
        "unfreeze_ViT_attention":false,
        "unfreeze_ViT_layernorm":false,
        "vit":"ViT-B/16",
        "vit_layernorm_init_from_vit":false,
        "vit_layernorm_shared":true,
        "vit_remove_last":false,
        "vocab_size":50265
}