Commit From AutoTrain

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,37 @@
+---
+tags:
+- autotrain
+- vision
+- image-classification
+datasets:
+- Younesao/autotrain-data-test
+widget:
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
+  example_title: Tiger
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
+  example_title: Teapot
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
+  example_title: Palace
+co2_eq_emissions:
+  emissions: 0.18712822898352202
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 41086106044
+- CO2 Emissions (in grams): 0.1871
+
+## Validation Metrics
+
+- Loss: 1.110
+- Accuracy: 0.100
+- Macro F1: 0.074
+- Micro F1: 0.100
+- Weighted F1: 0.111
+- Macro Precision: 0.083
+- Micro Precision: 0.100
+- Weighted Precision: 0.125
+- Macro Recall: 0.067
+- Micro Recall: 0.100
+- Weighted Recall: 0.100

config.json

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+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "ResNetForImageClassification"
+  ],
+  "depths": [
+    3,
+    4,
+    6,
+    3
+  ],
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    256,
+    512,
+    1024,
+    2048
+  ],
+  "id2label": {
+    "0": "Abstract-1",
+    "1": "Abstract-2",
+    "2": "Nouveau dossier"
+  },
+  "label2id": {
+    "Abstract-1": "0",
+    "Abstract-2": "1",
+    "Nouveau dossier": "2"
+  },
+  "layer_type": "bottleneck",
+  "max_length": 128,
+  "model_type": "resnet",
+  "num_channels": 3,
+  "out_features": null,
+  "padding": "max_length",
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1"
+}

preprocessor_config.json

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+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "ConvNextFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
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