Hugging Face's logo

amjadfqs
/
swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-skullStrippded

Image Classification
Transformers
PyTorch
TensorBoard
swin
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
1
amjadfqs commited on
Commit
a2da380
·
1 Parent(s): 2f3448a

Model save

Browse files
Files changed (5) hide show
  1. all_results.json +8 -0
  2. pytorch_model.bin +1 -1
  3. runs/Apr08_14-55-15_localhost/events.out.tfevents.1680965734.localhost.12443.0 +2 -2
  4. train_results.json +8 -0
  5. trainer_state.json +100 -0
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "total_flos": 2.200778666069115e+18,
4
+ "train_loss": 0.38177419900894166,
5
+ "train_runtime": 12693.075,
6
+ "train_samples_per_second": 2.213,
7
+ "train_steps_per_second": 0.004
8
+ }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:86de3de463fccb55a8710af5fc0bd047609ed7cd5cdf28ff4d9aa50d4bbce47c
3
  size 347601681
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ec74c68c1f29d99bd354f9ea663459a15e5d69143fa34bdd5d540c1cbfa36ac7
3
  size 347601681
runs/Apr08_14-55-15_localhost/events.out.tfevents.1680965734.localhost.12443.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:964320ee1761ec1eb621c5031d8ada3c9892c975bb4bc7e4c4aaa460e73d8dbc
3
- size 6909
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ec93f5bfed2c2d7f3117d69816795e6d97bb90e4be2e6f11401861017e3073bd
3
+ size 7257
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "total_flos": 2.200778666069115e+18,
4
+ "train_loss": 0.38177419900894166,
5
+ "train_runtime": 12693.075,
6
+ "train_samples_per_second": 2.213,
7
+ "train_steps_per_second": 0.004
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9537366548042705,
3
+ "best_model_checkpoint": "swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-skullStrippded/checkpoint-44",
4
+ "epoch": 5.0,
5
+ "global_step": 55,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.91,
12
+ "learning_rate": 4.591836734693878e-05,
13
+ "loss": 1.1427,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_accuracy": 0.8562277580071175,
19
+ "eval_loss": 0.5407824516296387,
20
+ "eval_runtime": 169.3392,
21
+ "eval_samples_per_second": 8.297,
22
+ "eval_steps_per_second": 0.065,
23
+ "step": 11
24
+ },
25
+ {
26
+ "epoch": 1.82,
27
+ "learning_rate": 3.571428571428572e-05,
28
+ "loss": 0.3939,
29
+ "step": 20
30
+ },
31
+ {
32
+ "epoch": 2.0,
33
+ "eval_accuracy": 0.9295373665480428,
34
+ "eval_loss": 0.20917567610740662,
35
+ "eval_runtime": 158.1711,
36
+ "eval_samples_per_second": 8.883,
37
+ "eval_steps_per_second": 0.07,
38
+ "step": 22
39
+ },
40
+ {
41
+ "epoch": 2.73,
42
+ "learning_rate": 2.5510204081632654e-05,
43
+ "loss": 0.2291,
44
+ "step": 30
45
+ },
46
+ {
47
+ "epoch": 3.0,
48
+ "eval_accuracy": 0.9444839857651246,
49
+ "eval_loss": 0.15564186871051788,
50
+ "eval_runtime": 158.2593,
51
+ "eval_samples_per_second": 8.878,
52
+ "eval_steps_per_second": 0.07,
53
+ "step": 33
54
+ },
55
+ {
56
+ "epoch": 3.64,
57
+ "learning_rate": 1.5306122448979594e-05,
58
+ "loss": 0.1439,
59
+ "step": 40
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "eval_accuracy": 0.9537366548042705,
64
+ "eval_loss": 0.13076630234718323,
65
+ "eval_runtime": 159.0937,
66
+ "eval_samples_per_second": 8.831,
67
+ "eval_steps_per_second": 0.069,
68
+ "step": 44
69
+ },
70
+ {
71
+ "epoch": 4.55,
72
+ "learning_rate": 5.102040816326531e-06,
73
+ "loss": 0.1298,
74
+ "step": 50
75
+ },
76
+ {
77
+ "epoch": 5.0,
78
+ "eval_accuracy": 0.9516014234875445,
79
+ "eval_loss": 0.13067327439785004,
80
+ "eval_runtime": 157.1498,
81
+ "eval_samples_per_second": 8.941,
82
+ "eval_steps_per_second": 0.07,
83
+ "step": 55
84
+ },
85
+ {
86
+ "epoch": 5.0,
87
+ "step": 55,
88
+ "total_flos": 2.200778666069115e+18,
89
+ "train_loss": 0.38177419900894166,
90
+ "train_runtime": 12693.075,
91
+ "train_samples_per_second": 2.213,
92
+ "train_steps_per_second": 0.004
93
+ }
94
+ ],
95
+ "max_steps": 55,
96
+ "num_train_epochs": 5,
97
+ "total_flos": 2.200778666069115e+18,
98
+ "trial_name": null,
99
+ "trial_params": null
100
+ }