Hugging Face's logo

hchcsuim
/
FFPP-Raw_1FPS_faces-expand-0-aligned

Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
swin
generated_from_trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hchcsuim commited on
Commit
e8f0eb8
•
1 Parent(s): a5109ad

End of training

Browse files
Files changed (15) hide show
  1. README.md +65 -8
  2. all_results.json +14 -10
  3. config.json +1 -1
  4. eval_results.json +10 -6
  5. model.safetensors +3 -0
  6. preprocessor_config.json +14 -0
  7. runs/Apr12_00-47-26_DESKTOP-LAB4/events.out.tfevents.1712854123.DESKTOP-LAB4.11808.0 +3 -0
  8. runs/Apr12_00-47-26_DESKTOP-LAB4/events.out.tfevents.1712878084.DESKTOP-LAB4.11808.1 +3 -0
  9. runs/Mar19_01-17-00_DESKTOP-C8UAR7P/events.out.tfevents.1710782276.DESKTOP-C8UAR7P.14724.0 +3 -0
  10. runs/Mar19_01-17-00_DESKTOP-C8UAR7P/events.out.tfevents.1710786993.DESKTOP-C8UAR7P.14724.1 +3 -0
  11. runs/Mar29_23-12-46_DESKTOP-LAB4/events.out.tfevents.1711725183.DESKTOP-LAB4.9060.0 +3 -0
  12. runs/Mar29_23-12-46_DESKTOP-LAB4/events.out.tfevents.1711731362.DESKTOP-LAB4.9060.1 +3 -0
  13. train_results.json +5 -5
  14. trainer_state.json +0 -0
  15. training_args.bin +2 -2
README.md CHANGED
@@ -1,12 +1,40 @@
1
  ---
 
2
  base_model: microsoft/swin-tiny-patch4-window7-224
3
  tags:
4
  - generated_from_trainer
5
  datasets:
6
  - imagefolder
 
 
 
 
 
7
  model-index:
8
  - name: FFPP-Raw_1FPS_faces-expand-0-aligned
9
- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10
  ---
11
 
12
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +43,13 @@ should probably proofread and complete it, then remove this comment. -->
15
  # FFPP-Raw_1FPS_faces-expand-0-aligned
16
 
17
  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 
 
 
 
 
 
 
18
 
19
  ## Model description
20
 
@@ -34,23 +69,45 @@ More information needed
34
 
35
  The following hyperparameters were used during training:
36
  - learning_rate: 5e-05
37
- - train_batch_size: 32
38
- - eval_batch_size: 8
39
  - seed: 42
40
  - gradient_accumulation_steps: 4
41
- - total_train_batch_size: 128
42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
  - lr_scheduler_type: linear
44
  - lr_scheduler_warmup_ratio: 0.1
45
- - num_epochs: 3
46
 
47
  ### Training results
48
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
49
 
50
 
51
  ### Framework versions
52
 
53
- - Transformers 4.34.0
54
  - Pytorch 2.2.2
55
- - Datasets 2.14.5
56
- - Tokenizers 0.14.1
 
1
  ---
2
+ license: apache-2.0
3
  base_model: microsoft/swin-tiny-patch4-window7-224
4
  tags:
5
  - generated_from_trainer
6
  datasets:
7
  - imagefolder
8
+ metrics:
9
+ - accuracy
10
+ - recall
11
+ - precision
12
+ - f1
13
  model-index:
14
  - name: FFPP-Raw_1FPS_faces-expand-0-aligned
15
+ results:
16
+ - task:
17
+ name: Image Classification
18
+ type: image-classification
19
+ dataset:
20
+ name: imagefolder
21
+ type: imagefolder
22
+ config: default
23
+ split: test
24
+ args: default
25
+ metrics:
26
+ - name: Accuracy
27
+ type: accuracy
28
+ value: 0.99837772836593
29
+ - name: Recall
30
+ type: recall
31
+ value: 0.993161411568177
32
+ - name: Precision
33
+ type: precision
34
+ value: 0.9993696485790828
35
+ - name: F1
36
+ type: f1
37
+ value: 0.9962558584033724
38
  ---
39
 
40
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
43
  # FFPP-Raw_1FPS_faces-expand-0-aligned
44
 
45
  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
46
+ It achieves the following results on the evaluation set:
47
+ - Loss: 0.0031
48
+ - Accuracy: 0.9984
49
+ - Recall: 0.9932
50
+ - Precision: 0.9994
51
+ - F1: 0.9963
52
+ - Roc Auc: 1.0000
53
 
54
  ## Model description
55
 
 
69
 
70
  The following hyperparameters were used during training:
71
  - learning_rate: 5e-05
72
+ - train_batch_size: 16
73
+ - eval_batch_size: 16
74
  - seed: 42
75
  - gradient_accumulation_steps: 4
76
+ - total_train_batch_size: 64
77
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
78
  - lr_scheduler_type: linear
79
  - lr_scheduler_warmup_ratio: 0.1
80
+ - num_epochs: 20
81
 
82
  ### Training results
83
 
84
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1 | Roc Auc |
85
+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
86
+ | 0.0983 | 1.0 | 1377 | 0.0679 | 0.9743 | 0.9700 | 0.9165 | 0.9425 | 0.9961 |
87
+ | 0.0917 | 2.0 | 2755 | 0.0342 | 0.9896 | 0.9718 | 0.9803 | 0.9760 | 0.9993 |
88
+ | 0.0291 | 3.0 | 4132 | 0.0161 | 0.9940 | 0.9908 | 0.9818 | 0.9863 | 0.9998 |
89
+ | 0.0454 | 4.0 | 5510 | 0.0136 | 0.9950 | 0.9851 | 0.9917 | 0.9884 | 0.9998 |
90
+ | 0.0302 | 5.0 | 6887 | 0.0075 | 0.9972 | 0.9896 | 0.9976 | 0.9936 | 1.0000 |
91
+ | 0.0073 | 6.0 | 8265 | 0.0064 | 0.9976 | 0.9931 | 0.9957 | 0.9944 | 1.0000 |
92
+ | 0.016 | 7.0 | 9642 | 0.0067 | 0.9975 | 0.9934 | 0.9949 | 0.9941 | 1.0000 |
93
+ | 0.0054 | 8.0 | 11020 | 0.0058 | 0.9978 | 0.9915 | 0.9984 | 0.9949 | 1.0000 |
94
+ | 0.0237 | 9.0 | 12397 | 0.0063 | 0.9975 | 0.9894 | 0.9993 | 0.9943 | 1.0000 |
95
+ | 0.0088 | 10.0 | 13775 | 0.0042 | 0.9982 | 0.9920 | 0.9995 | 0.9957 | 1.0000 |
96
+ | 0.0078 | 11.0 | 15152 | 0.0043 | 0.9982 | 0.9921 | 0.9994 | 0.9957 | 1.0000 |
97
+ | 0.0142 | 12.0 | 16530 | 0.0040 | 0.9982 | 0.9939 | 0.9979 | 0.9959 | 1.0000 |
98
+ | 0.0058 | 13.0 | 17907 | 0.0035 | 0.9983 | 0.9930 | 0.9992 | 0.9961 | 1.0000 |
99
+ | 0.0076 | 14.0 | 19285 | 0.0040 | 0.9981 | 0.9920 | 0.9994 | 0.9957 | 1.0000 |
100
+ | 0.0032 | 15.0 | 20662 | 0.0036 | 0.9983 | 0.9926 | 0.9995 | 0.9960 | 1.0000 |
101
+ | 0.0154 | 16.0 | 22040 | 0.0033 | 0.9983 | 0.9928 | 0.9996 | 0.9962 | 1.0000 |
102
+ | 0.0041 | 17.0 | 23417 | 0.0032 | 0.9984 | 0.9925 | 0.9999 | 0.9962 | 1.0000 |
103
+ | 0.002 | 18.0 | 24795 | 0.0032 | 0.9984 | 0.9933 | 0.9992 | 0.9962 | 1.0000 |
104
+ | 0.0024 | 19.0 | 26172 | 0.0031 | 0.9984 | 0.9932 | 0.9994 | 0.9963 | 1.0000 |
105
+ | 0.0023 | 19.99 | 27540 | 0.0031 | 0.9984 | 0.9927 | 0.9998 | 0.9963 | 1.0000 |
106
 
107
 
108
  ### Framework versions
109
 
110
+ - Transformers 4.39.2
111
  - Pytorch 2.2.2
112
+ - Datasets 2.18.0
113
+ - Tokenizers 0.15.2
all_results.json CHANGED
@@ -1,12 +1,16 @@
1
  {
2
- "epoch": 3.0,
3
- "eval_accuracy": 0.9957906415192848,
4
- "eval_loss": 0.012260152958333492,
5
- "eval_runtime": 355.4323,
6
- "eval_samples_per_second": 258.665,
7
- "eval_steps_per_second": 8.086,
8
- "train_loss": 0.08376573344403765,
9
- "train_runtime": 4348.829,
10
- "train_samples_per_second": 63.423,
11
- "train_steps_per_second": 0.495
 
 
 
 
12
  }
 
1
  {
2
+ "epoch": 19.99,
3
+ "eval_accuracy": 0.99837772836593,
4
+ "eval_f1": 0.9962558584033724,
5
+ "eval_loss": 0.0031478386372327805,
6
+ "eval_precision": 0.9993696485790828,
7
+ "eval_recall": 0.993161411568177,
8
+ "eval_roc_auc": 0.9999876608903375,
9
+ "eval_runtime": 388.229,
10
+ "eval_samples_per_second": 227.052,
11
+ "eval_steps_per_second": 14.193,
12
+ "train_loss": 0.029798476457713677,
13
+ "train_runtime": 23573.1101,
14
+ "train_samples_per_second": 74.787,
15
+ "train_steps_per_second": 1.168
16
  }
config.json CHANGED
@@ -55,7 +55,7 @@
55
  "stage4"
56
  ],
57
  "torch_dtype": "float32",
58
- "transformers_version": "4.34.0",
59
  "use_absolute_embeddings": false,
60
  "window_size": 7
61
  }
 
55
  "stage4"
56
  ],
57
  "torch_dtype": "float32",
58
+ "transformers_version": "4.39.2",
59
  "use_absolute_embeddings": false,
60
  "window_size": 7
61
  }
eval_results.json CHANGED
@@ -1,8 +1,12 @@
1
  {
2
- "epoch": 3.0,
3
- "eval_accuracy": 0.9957906415192848,
4
- "eval_loss": 0.012260152958333492,
5
- "eval_runtime": 355.4323,
6
- "eval_samples_per_second": 258.665,
7
- "eval_steps_per_second": 8.086
 
 
 
 
8
  }
 
1
  {
2
+ "epoch": 19.99,
3
+ "eval_accuracy": 0.99837772836593,
4
+ "eval_f1": 0.9962558584033724,
5
+ "eval_loss": 0.0031478386372327805,
6
+ "eval_precision": 0.9993696485790828,
7
+ "eval_recall": 0.993161411568177,
8
+ "eval_roc_auc": 0.9999876608903375,
9
+ "eval_runtime": 388.229,
10
+ "eval_samples_per_second": 227.052,
11
+ "eval_steps_per_second": 14.193
12
  }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0d9c389624405af5e2fb29dde4d5dd77db1f955e1a9a5772321b300920817f29
3
+ size 110342832
preprocessor_config.json CHANGED
@@ -1,4 +1,18 @@
1
  {
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  "do_normalize": true,
3
  "do_rescale": true,
4
  "do_resize": true,
 
1
  {
2
+ "_valid_processor_keys": [
3
+ "images",
4
+ "do_resize",
5
+ "size",
6
+ "resample",
7
+ "do_rescale",
8
+ "rescale_factor",
9
+ "do_normalize",
10
+ "image_mean",
11
+ "image_std",
12
+ "return_tensors",
13
+ "data_format",
14
+ "input_data_format"
15
+ ],
16
  "do_normalize": true,
17
  "do_rescale": true,
18
  "do_resize": true,
runs/Apr12_00-47-26_DESKTOP-LAB4/events.out.tfevents.1712854123.DESKTOP-LAB4.11808.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:788b5e4a5a20e80e5bc30b48f84ed3b5a1871f6b4a783362c1f92f76eca302e8
3
+ size 601398
runs/Apr12_00-47-26_DESKTOP-LAB4/events.out.tfevents.1712878084.DESKTOP-LAB4.11808.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b7ffec7fb82eec6a5e8e31048b7ca82cfbb93d1f1655b1c7dd2a7115dd07844
3
+ size 573
runs/Mar19_01-17-00_DESKTOP-C8UAR7P/events.out.tfevents.1710782276.DESKTOP-C8UAR7P.14724.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:53d2ab5819fa853a9321402cbe23994dbd768d7f62b418a02ddbeaa3c89d57e0
3
+ size 39510
runs/Mar19_01-17-00_DESKTOP-C8UAR7P/events.out.tfevents.1710786993.DESKTOP-C8UAR7P.14724.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5870b12a4e4d21ad75cf63c9c6f706cd8e0007c58f49bea7fc548d6765756ef4
3
+ size 1332
runs/Mar29_23-12-46_DESKTOP-LAB4/events.out.tfevents.1711725183.DESKTOP-LAB4.9060.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dd4e25e653dd335b8941348c52aabb1cecaed2f646e3765e8f32665126ebd294
3
+ size 37174
runs/Mar29_23-12-46_DESKTOP-LAB4/events.out.tfevents.1711731362.DESKTOP-LAB4.9060.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cdc2bbddc091ba37c9393bf692d03c7fc3d7d3a95cecfac3d064c16f0fa62226
3
+ size 814
train_results.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
- "epoch": 3.0,
3
- "train_loss": 0.08376573344403765,
4
- "train_runtime": 4348.829,
5
- "train_samples_per_second": 63.423,
6
- "train_steps_per_second": 0.495
7
  }
 
1
  {
2
+ "epoch": 19.99,
3
+ "train_loss": 0.029798476457713677,
4
+ "train_runtime": 23573.1101,
5
+ "train_samples_per_second": 74.787,
6
+ "train_steps_per_second": 1.168
7
  }
trainer_state.json CHANGED
The diff for this file is too large to render. See raw diff
 
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:37e39107a7ccc69fbfbabb76684d12aad67680e42ee24107f96811180877dd6e
3
- size 4600
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:22475f49125c140b96dd3eb454474fc2b886e5c99cc2a095b9fa09f6d384e03a
3
+ size 4984