Hugging Face's logo

DunnBC22
/
deit-base-distilled-patch16-224-Brain_Tumors_Image_Classification

Image Classification
Transformers
PyTorch
TensorBoard
English
deit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
1
DunnBC22 commited on
Commit
7a3dcd8
•
1 Parent(s): 8995214

All Dunn!!!

Browse files
Files changed (3) hide show
  1. all_results.json +7 -0
  2. train_results.json +7 -0
  3. trainer_state.json +91 -0
all_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 0.16206568569220878,
4
+ "train_runtime": 10851.3565,
5
+ "train_samples_per_second": 0.793,
6
+ "train_steps_per_second": 0.05
7
+ }
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 0.16206568569220878,
4
+ "train_runtime": 10851.3565,
5
+ "train_samples_per_second": 0.793,
6
+ "train_steps_per_second": 0.05
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.5974297523498535,
3
+ "best_model_checkpoint": "deit-base-distilled-patch16-224-Brain_Tumors_Image_Classification/checkpoint-180",
4
+ "epoch": 3.0,
5
+ "global_step": 540,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.01,
12
+ "learning_rate": 0.00019962962962962963,
13
+ "loss": 1.6561,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_Macro F1": 0.7523839593284445,
19
+ "eval_Macro Precision": 0.848754485357001,
20
+ "eval_Macro Recall": 0.7721975546975547,
21
+ "eval_Micro F1": 0.7791878172588832,
22
+ "eval_Micro Precision": 0.7791878172588832,
23
+ "eval_Micro Recall": 0.7791878172588832,
24
+ "eval_Weighted F1": 0.7453628800843896,
25
+ "eval_Weighted Precision": 0.8318232384106532,
26
+ "eval_Weighted Recall": 0.7791878172588832,
27
+ "eval_accuracy": 0.7791878172588832,
28
+ "eval_loss": 1.5974297523498535,
29
+ "eval_runtime": 158.4311,
30
+ "eval_samples_per_second": 2.487,
31
+ "eval_steps_per_second": 0.316,
32
+ "step": 180
33
+ },
34
+ {
35
+ "epoch": 2.0,
36
+ "eval_Macro F1": 0.7633291525310026,
37
+ "eval_Macro Precision": 0.8581805454782236,
38
+ "eval_Macro Recall": 0.7895945945945947,
39
+ "eval_Micro F1": 0.7944162436548223,
40
+ "eval_Micro Precision": 0.7944162436548223,
41
+ "eval_Micro Recall": 0.7944162436548223,
42
+ "eval_Weighted F1": 0.7575448057862165,
43
+ "eval_Weighted Precision": 0.8457998113504581,
44
+ "eval_Weighted Recall": 0.7944162436548223,
45
+ "eval_accuracy": 0.7944162436548223,
46
+ "eval_loss": 1.7614473104476929,
47
+ "eval_runtime": 164.9625,
48
+ "eval_samples_per_second": 2.388,
49
+ "eval_steps_per_second": 0.303,
50
+ "step": 360
51
+ },
52
+ {
53
+ "epoch": 2.78,
54
+ "learning_rate": 1.4814814814814815e-05,
55
+ "loss": 0.172,
56
+ "step": 500
57
+ },
58
+ {
59
+ "epoch": 3.0,
60
+ "eval_Macro F1": 0.7814460911179522,
61
+ "eval_Macro Precision": 0.8709889899614355,
62
+ "eval_Macro Recall": 0.7995945945945947,
63
+ "eval_Micro F1": 0.8045685279187818,
64
+ "eval_Micro Precision": 0.8045685279187818,
65
+ "eval_Micro Recall": 0.8045685279187818,
66
+ "eval_Weighted F1": 0.7748734698246326,
67
+ "eval_Weighted Precision": 0.8567144229592434,
68
+ "eval_Weighted Recall": 0.8045685279187818,
69
+ "eval_accuracy": 0.8045685279187818,
70
+ "eval_loss": 1.8586993217468262,
71
+ "eval_runtime": 170.17,
72
+ "eval_samples_per_second": 2.315,
73
+ "eval_steps_per_second": 0.294,
74
+ "step": 540
75
+ },
76
+ {
77
+ "epoch": 3.0,
78
+ "step": 540,
79
+ "total_flos": 6.672299348555366e+17,
80
+ "train_loss": 0.16206568569220878,
81
+ "train_runtime": 10851.3565,
82
+ "train_samples_per_second": 0.793,
83
+ "train_steps_per_second": 0.05
84
+ }
85
+ ],
86
+ "max_steps": 540,
87
+ "num_train_epochs": 3,
88
+ "total_flos": 6.672299348555366e+17,
89
+ "trial_name": null,
90
+ "trial_params": null
91
+ }