system HF staff commited on
Commit
adf4f48
1 Parent(s): 92f9cb6

Commit From AutoTrain

Browse files
Files changed (5) hide show
  1. .gitattributes +3 -0
  2. README.md +37 -0
  3. config.json +52 -0
  4. preprocessor_config.json +23 -0
  5. pytorch_model.bin +3 -0
.gitattributes CHANGED
@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
32
  *.zip filter=lfs diff=lfs merge=lfs -text
33
  *.zst filter=lfs diff=lfs merge=lfs -text
34
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
32
  *.zip filter=lfs diff=lfs merge=lfs -text
33
  *.zst filter=lfs diff=lfs merge=lfs -text
34
  *tfevents* filter=lfs diff=lfs merge=lfs -text
35
+ *.bin.* filter=lfs diff=lfs merge=lfs -text
36
+ *.tar.gz filter=lfs diff=lfs merge=lfs -text
37
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - autotrain
4
+ - vision
5
+ - image-classification
6
+ datasets:
7
+ - sbrandeis-test-org/autotrain-data-auto-retrain-190471b
8
+ widget:
9
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
10
+ example_title: Tiger
11
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
12
+ example_title: Teapot
13
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
14
+ example_title: Palace
15
+ co2_eq_emissions:
16
+ emissions: 0.5727250562055856
17
+ ---
18
+
19
+ # Model Trained Using AutoTrain
20
+
21
+ - Problem type: Multi-class Classification
22
+ - Model ID: 3020886685
23
+ - CO2 Emissions (in grams): 0.5727
24
+
25
+ ## Validation Metrics
26
+
27
+ - Loss: 0.002
28
+ - Accuracy: 1.000
29
+ - Macro F1: 1.000
30
+ - Micro F1: 1.000
31
+ - Weighted F1: 1.000
32
+ - Macro Precision: 1.000
33
+ - Micro Precision: 1.000
34
+ - Weighted Precision: 1.000
35
+ - Macro Recall: 1.000
36
+ - Micro Recall: 1.000
37
+ - Weighted Recall: 1.000
config.json ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "AutoTrain",
3
+ "architectures": [
4
+ "SwinForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "depths": [
8
+ 2,
9
+ 2,
10
+ 6,
11
+ 2
12
+ ],
13
+ "drop_path_rate": 0.1,
14
+ "embed_dim": 96,
15
+ "encoder_stride": 32,
16
+ "hidden_act": "gelu",
17
+ "hidden_dropout_prob": 0.0,
18
+ "hidden_size": 768,
19
+ "id2label": {
20
+ "0": "ADONIS",
21
+ "1": "AFRICAN GIANT SWALLOWTAIL",
22
+ "2": "AMERICAN SNOOT"
23
+ },
24
+ "image_size": 224,
25
+ "initializer_range": 0.02,
26
+ "label2id": {
27
+ "ADONIS": "0",
28
+ "AFRICAN GIANT SWALLOWTAIL": "1",
29
+ "AMERICAN SNOOT": "2"
30
+ },
31
+ "layer_norm_eps": 1e-05,
32
+ "max_length": 128,
33
+ "mlp_ratio": 4.0,
34
+ "model_type": "swin",
35
+ "num_channels": 3,
36
+ "num_heads": [
37
+ 3,
38
+ 6,
39
+ 12,
40
+ 24
41
+ ],
42
+ "num_layers": 4,
43
+ "padding": "max_length",
44
+ "patch_size": 4,
45
+ "path_norm": true,
46
+ "problem_type": "single_label_classification",
47
+ "qkv_bias": true,
48
+ "torch_dtype": "float32",
49
+ "transformers_version": "4.25.1",
50
+ "use_absolute_embeddings": false,
51
+ "window_size": 7
52
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "do_rescale": true,
4
+ "do_resize": true,
5
+ "feature_extractor_type": "ViTFeatureExtractor",
6
+ "image_mean": [
7
+ 0.485,
8
+ 0.456,
9
+ 0.406
10
+ ],
11
+ "image_processor_type": "ViTImageProcessor",
12
+ "image_std": [
13
+ 0.229,
14
+ 0.224,
15
+ 0.225
16
+ ],
17
+ "resample": 3,
18
+ "rescale_factor": 0.00392156862745098,
19
+ "size": {
20
+ "height": 224,
21
+ "width": 224
22
+ }
23
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f24b5995b138409aa3560b9b0ed194bb125870f148ce7d4529ef182ac5dd2fe
3
+ size 110397937