From ifoodie-rating-reset-v11.2 Acc_Val 0.977
Browse files- .gitattributes +3 -0
- README.md +41 -0
- config.json +65 -0
- images/0 +3 -0
- images/1 +3 -0
- images/2 +3 -0
- preprocessor_config.json +23 -0
- pytorch_model.bin +3 -0
- runs/events.out.tfevents.1698340033.4349086e256f.642.0 +3 -0
.gitattributes
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@@ -33,3 +33,6 @@ 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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*.zst 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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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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images/0 filter=lfs diff=lfs merge=lfs -text
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images/1 filter=lfs diff=lfs merge=lfs -text
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images/2 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: ifoodie-rating-reset-v12
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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: 0.9768785834312439
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---
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# ifoodie-rating-reset-v12
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['優質', '差', '普通']
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## Example Images
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# #### 優質
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# ![優質](images/0)
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#
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# #### 差
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# ![差](images/1)
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#
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# #### 普通
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# ![普通](images/2)
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#
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config.json
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{
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"_name_or_path": "sainteye/ifoodie-rating-reset-v11.2",
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"architectures": [
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"SwinForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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2,
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2,
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6,
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2
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],
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"drop_path_rate": 0.1,
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"embed_dim": 96,
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"encoder_stride": 32,
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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": "\u512a\u8cea",
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"1": "\u5dee",
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"2": "\u666e\u901a"
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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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"\u512a\u8cea": "0",
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"\u5dee": "1",
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"\u666e\u901a": "2"
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},
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"layer_norm_eps": 1e-05,
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"max_length": 128,
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"mlp_ratio": 4.0,
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"model_type": "swin",
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"num_channels": 3,
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"num_heads": [
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3,
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6,
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12,
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24
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],
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"num_layers": 4,
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"out_features": [
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"stage4"
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],
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"out_indices": [
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4
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],
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"padding": "max_length",
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"patch_size": 4,
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"path_norm": true,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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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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],
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"torch_dtype": "float32",
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"transformers_version": "4.34.1",
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"use_absolute_embeddings": false,
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"window_size": 7
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}
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images/0
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version https://git-lfs.github.com/spec/v1
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oid sha256:88d1eeba1fc3c4591d0c603aca82dd7a16bbfdaf891075a40526601d63449f9e
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size 14340
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images/1
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version https://git-lfs.github.com/spec/v1
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oid sha256:68d19f3fd8cc32618ccad39119d54bf6a9a269f2d03f55a9ba27028474fc4dea
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size 14340
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images/2
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd06ea57c5578d85263a23d9214b5382b00951788f77d4f8b153f7fddf7fca7e
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size 10244
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preprocessor_config.json
ADDED
@@ -0,0 +1,23 @@
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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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"feature_extractor_type": "ViTFeatureExtractor",
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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_processor_type": "ViTFeatureExtractor",
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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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"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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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:de9986b7b9ab15d51e1949ed00d9752fe160480b15f81cb739852ec27a8fe6a9
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size 110395118
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runs/events.out.tfevents.1698340033.4349086e256f.642.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:0401b6b084e1663dad4257c3f106b6494d8f068c50367d73218c3b7a4d511638
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size 2978
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