Uploading fine-tuned weights ran for 4 epochs on 2048 x whatever step (avg 150) depth images on alfred dataset.
Browse files- config.json +82 -0
- model.safetensors +3 -0
config.json
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{
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"_commit_hash": "27ccb0920352c0c37b3a96441873c8d37bd52fb6",
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"_name_or_path": "LiheYoung/depth-anything-large-hf",
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"architectures": [
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"DepthAnythingForDepthEstimation"
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],
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"backbone": null,
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"backbone_config": {
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"architectures": [
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"Dinov2Model"
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],
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"hidden_size": 1024,
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"image_size": 518,
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"model_type": "dinov2",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"out_features": [
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"stage21",
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"stage22",
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"stage23",
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"stage24"
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],
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"out_indices": [
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21,
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22,
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23,
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24
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],
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"patch_size": 14,
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"reshape_hidden_states": false,
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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"stage4",
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"stage5",
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"stage6",
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"stage7",
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"stage8",
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"stage9",
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"stage10",
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"stage11",
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"stage12",
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"stage13",
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"stage14",
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"stage15",
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"stage16",
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"stage17",
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"stage18",
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"stage19",
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"stage20",
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"stage21",
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"stage22",
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"stage23",
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"stage24"
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],
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"torch_dtype": "float32"
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},
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"fusion_hidden_size": 256,
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"head_hidden_size": 32,
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"head_in_index": -1,
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"initializer_range": 0.02,
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"model_type": "depth_anything",
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"neck_hidden_sizes": [
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256,
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512,
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1024,
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1024
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],
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"patch_size": 14,
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"reassemble_factors": [
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4,
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2,
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1,
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0.5
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],
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"reassemble_hidden_size": 1024,
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"torch_dtype": "float32",
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"transformers_version": null,
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"use_pretrained_backbone": false
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}
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model.safetensors
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:85d5d62f69c18b89fc375ca40898faa3bda244275d68e7c8adc8ea23689719b9
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size 1341322868
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