63 lines
1.3 KiB
JSON
63 lines
1.3 KiB
JSON
{
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"_name_or_path": "vit-large336-custom",
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"architectures": [
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"CLIPVisionModel"
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],
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"attention_dropout": 0.0,
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"dropout": 0.0,
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"hidden_act": "quick_gelu",
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"hidden_size": 1024,
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"image_size": 336,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"model_type": "clip_vision_model",
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"num_attention_heads": 16,
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"num_channels": 3,
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"num_hidden_layers": 24,
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"patch_size": 14,
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"projection_dim": 768,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.31.0",
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"image_aspect_ratio": "anyres",
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"image_crop_resolution": 224,
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"image_grid_pinpoints": [
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[
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336,
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672
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],
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[
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672,
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336
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],
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[
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672,
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672
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],
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[
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1008,
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336
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],
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[
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336,
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1008
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]
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],
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"image_split_resolution": 224,
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"initializer_range": 0.02,
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"max_length": 4096,
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"max_position_embeddings": 4096,
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"mm_hidden_size": 1024,
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"mm_patch_merge_type": "spatial_unpad",
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"mm_projector_lr": null,
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"mm_projector_type": "mlp2x_gelu",
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"mm_resampler_type": null,
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"mm_use_im_patch_token": false,
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"mm_use_im_start_end": false,
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"mm_vision_select_feature": "patch",
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"mm_vision_select_layer": -2,
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"mm_vision_tower__": "openai/clip-vit-large-patch14-336",
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"mm_vision_tower_lr": 2e-06
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}
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