lxmert-gqa-uncased / config.json
Jinchen Ge
Add fine-tuned model
7408dc9
{
"_name_or_path": "unc-nlp/lxmert-base-uncased",
"architectures": [
"PoptorchPipelinedLxmertForQuestionAnswering"
],
"attention_probs_dropout_prob": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"l_layers": 9,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "lxmert",
"num_attention_heads": 12,
"num_attr_labels": 400,
"num_hidden_layers": {
"cross_encoder": 5,
"language": 9,
"vision": 5
},
"num_object_labels": 1600,
"num_qa_labels": 1842,
"r_layers": 5,
"task_mask_lm": true,
"task_matched": true,
"task_obj_predict": true,
"task_qa": true,
"torch_dtype": "float16",
"transformers_version": "4.18.0.dev0",
"type_vocab_size": 2,
"visual_attr_loss": true,
"visual_feat_dim": 2048,
"visual_feat_loss": true,
"visual_loss_normalizer": 6.67,
"visual_obj_loss": true,
"visual_pos_dim": 4,
"vocab_size": 30522,
"x_layers": 5
}