groma-7b-finetune / config.json
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{
"_name_or_path": "checkpoints/pretrain_128bs",
"architectures": [
"GromaModel"
],
"box_score_thres": 0.15,
"llm_cfg": {
"_name_or_path": "vicuna-7b-v1.5",
"architectures": [
"LlamaForCausalLM"
],
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 11008,
"max_position_embeddings": 4096,
"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 32,
"pad_token_id": 0,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.32.0",
"use_cache": true,
"vocab_size": 32000
},
"model_type": "groma",
"num_new_token": 114,
"perceiver_cfg": {
"architectures": [
"CustomDDETRModel"
],
"ddetr_cfg": {
"auxiliary_loss": true,
"class_cost": 2,
"cls_loss_coefficient": 2,
"id2label": {
"0": "LABEL_0"
},
"label2id": {
"LABEL_0": 0
},
"model_type": "deformable_detr",
"num_feature_levels": 1,
"two_stage": true,
"with_box_refine": true
},
"model_type": "ddetr",
"torch_dtype": "float32",
"transformers_version": "4.32.0",
"vis_encoder_cfg": {
"architectures": [
"Dinov2Model"
],
"hidden_size": 1024,
"image_size": 518,
"model_type": "dinov2",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"patch_size": 14,
"torch_dtype": "float32"
},
"vis_encoder_path": "checkpoints/dinov2-large",
"vis_output_layer": -2,
"zs_weight_path": null
},
"torch_dtype": "float32",
"transformers_version": "4.32.0",
"vocab_size": 32114
}