commit files to HF hub
Browse files- README.md +23 -0
- config.json +34 -0
- preprocessor_config.json +17 -0
- pytorch_model.bin +3 -0
- runs/events.out.tfevents.1624960300.06cbbb5b7bad.61.0 +0 -0
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: animals-classifier
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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: 0.9821428656578064
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---
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# animals-classifier
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Autogenerated by HuggingPics🤗🖼️
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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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"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": "dolphin",
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"1": "elephant",
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"2": "giraffe",
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"3": "hippo",
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"4": "lion"
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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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"dolphin": "0",
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"elephant": "1",
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"giraffe": "2",
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"hippo": "3",
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"lion": "4"
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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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"transformers_version": "4.8.1"
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}
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_resize": true,
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"feature_extractor_type": "ViTFeatureExtractor",
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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_std": [
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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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"resample": 2,
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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 sha256:5c55a00c9cb251e9c616b8b2729712e2992cf6b717a98d7fd35b4eefcf9aa541
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size 343286257
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runs/events.out.tfevents.1624960300.06cbbb5b7bad.61.0
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Binary file (1.44 kB). View file
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