commit files to HF hub
Browse files- .gitattributes +2 -0
- README.md +39 -0
- config.json +39 -0
- images/image1.jpg +3 -0
- images/image2.jpg +3 -0
- preprocessor_config.json +18 -0
- pytorch_model.bin +3 -0
- runs/events.out.tfevents.1655820660.ef9c7542e16c.73.7 +3 -0
.gitattributes
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@@ -25,3 +25,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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images/image1.jpg filter=lfs diff=lfs merge=lfs -text
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images/image2.jpg filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- image-classification
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- pytorch
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- huggingpics
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metrics:
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- accuracy
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model-index:
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- name: dog-food-convnext-tiny-224
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results:
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- task:
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name: Image Classification
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type: image-classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 1.0
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---
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# dog-food-convnext-tiny-224
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This model was trained on the `train` split of the [Dogs vs Food](https://huggingface.co/datasets/sasha/dog-food) dataset -- try training your own using the
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[the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb)!
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## Example Images
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#### dog
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![dog](images/dog)
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#### food
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![food](images/dog)
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config.json
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{
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"_name_or_path": "facebook/convnext-tiny-224",
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"architectures": [
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"ConvNextForImageClassification"
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],
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"depths": [
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3,
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3,
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9,
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3
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],
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"drop_path_rate": 0.0,
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"hidden_act": "gelu",
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"hidden_sizes": [
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96,
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192,
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384,
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768
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],
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"id2label": {
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"0": "dog",
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"1": "food"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"dog": "0",
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"food": "1"
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},
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"layer_norm_eps": 1e-12,
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"layer_scale_init_value": 1e-06,
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"model_type": "convnext",
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"num_channels": 3,
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"num_stages": 4,
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"patch_size": 4,
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.20.0"
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}
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images/image1.jpg
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Git LFS Details
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images/image2.jpg
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Git LFS Details
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preprocessor_config.json
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{
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"crop_pct": 0.875,
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"do_normalize": true,
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"do_resize": true,
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"feature_extractor_type": "ConvNextFeatureExtractor",
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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"size": 224
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e0d5882fdf50c4bf03c39ec64d88e9534c847a8b01e5923fc7fd87d592b1449f
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size 111344789
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runs/events.out.tfevents.1655820660.ef9c7542e16c.73.7
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:a702180a378372be79a51e62086b897251ee67aaff7b786d08e4a61031febffd
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size 2842
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