commit files to HF hub
Browse files- .gitattributes +1 -0
- README.md +7 -3
- config.json +34 -30
- images/child.jpg +3 -0
- images/female.jpg +2 -2
- images/male.jpg +2 -2
- model.safetensors +2 -2
- preprocessor_config.json +36 -36
- runs/events.out.tfevents.1719287915.88d5ea954a70.428.0 +3 -0
.gitattributes
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@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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images/female.jpg filter=lfs diff=lfs merge=lfs -text
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images/male.jpg filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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images/female.jpg filter=lfs diff=lfs merge=lfs -text
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images/male.jpg filter=lfs diff=lfs merge=lfs -text
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images/child.jpg filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -7,7 +7,7 @@ metrics:
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- accuracy
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model-index:
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- name: gender-classification-hp
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results:
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- task:
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name: Image Classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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---
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# gender-classification-hp
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Autogenerated by HuggingPics🤗🖼️
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## Example Images
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#### female
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- accuracy
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model-index:
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- name: sgdkn/gender-classification-hp
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results:
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- task:
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name: Image Classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7611940503120422
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---
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# sgdkn/gender-classification-hp
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Autogenerated by HuggingPics🤗🖼️
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## Example Images
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#### child
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#### female
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config.json
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{
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "
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{
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "child",
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"1": "female",
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"2": "male"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"child": "0",
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"female": "1",
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"male": "2"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.41.2"
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}
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images/child.jpg
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Git LFS Details
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images/female.jpg
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Git LFS Details
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Git LFS Details
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images/male.jpg
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Git LFS Details
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Git LFS Details
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 343227052
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preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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"do_resize",
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"size",
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"resample",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"image_mean",
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"image_std",
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"return_tensors",
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"data_format",
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"input_data_format"
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],
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTFeatureExtractor",
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"image_std": [
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0.5,
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0.5,
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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{
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"_valid_processor_keys": [
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"images",
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"resample",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"image_mean",
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"image_std",
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"return_tensors",
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"data_format",
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"input_data_format"
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],
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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],
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"image_processor_type": "ViTFeatureExtractor",
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"image_std": [
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0.5,
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0.5,
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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runs/events.out.tfevents.1719287915.88d5ea954a70.428.0
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version https://git-lfs.github.com/spec/v1
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size 1210
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