DunnBC22 commited on
Commit
e9d1582
1 Parent(s): 04c8b98

All Dunn!!!

Browse files
all_results.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_Macro F1": 1.0,
4
+ "eval_Macro Precision": 1.0,
5
+ "eval_Macro Recall": 1.0,
6
+ "eval_Micro F1": 1.0,
7
+ "eval_Micro Precision": 1.0,
8
+ "eval_Micro Recall": 1.0,
9
+ "eval_Weighted F1": 1.0,
10
+ "eval_Weighted Precision": 1.0,
11
+ "eval_Weighted Recall": 1.0,
12
+ "eval_accuracy": 1.0,
13
+ "eval_loss": 0.0014102862915024161,
14
+ "eval_runtime": 2685.8424,
15
+ "eval_samples_per_second": 1.117,
16
+ "eval_steps_per_second": 0.14,
17
+ "train_loss": 0.047539065705179406,
18
+ "train_runtime": 128292.8579,
19
+ "train_samples_per_second": 0.351,
20
+ "train_steps_per_second": 0.022
21
+ }
eval_results.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_Macro F1": 1.0,
4
+ "eval_Macro Precision": 1.0,
5
+ "eval_Macro Recall": 1.0,
6
+ "eval_Micro F1": 1.0,
7
+ "eval_Micro Precision": 1.0,
8
+ "eval_Micro Recall": 1.0,
9
+ "eval_Weighted F1": 1.0,
10
+ "eval_Weighted Precision": 1.0,
11
+ "eval_Weighted Recall": 1.0,
12
+ "eval_accuracy": 1.0,
13
+ "eval_loss": 0.0014102862915024161,
14
+ "eval_runtime": 2685.8424,
15
+ "eval_samples_per_second": 1.117,
16
+ "eval_steps_per_second": 0.14
17
+ }
runs/Jan10_22-04-23_Brians-Mac-mini.local/events.out.tfevents.1673541344.Brians-Mac-mini.local.19842.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7622060fb6c7f53cde5d2bd8b01c619d2c7a9681a97459fd947e6c10aff5a591
3
+ size 873
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 0.047539065705179406,
4
+ "train_runtime": 128292.8579,
5
+ "train_samples_per_second": 0.351,
6
+ "train_steps_per_second": 0.022
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,115 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.0,
3
+ "best_model_checkpoint": "google/vit-base-patch16-224-in21k_vegetables_classification/checkpoint-2814",
4
+ "epoch": 3.0,
5
+ "global_step": 2814,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 0.00019992892679459844,
13
+ "loss": 2.7327,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 0.53,
18
+ "learning_rate": 0.0001644633972992182,
19
+ "loss": 0.2079,
20
+ "step": 500
21
+ },
22
+ {
23
+ "epoch": 1.0,
24
+ "eval_Macro F1": 0.9959973769363069,
25
+ "eval_Macro Precision": 0.9960145106065282,
26
+ "eval_Macro Recall": 0.9959999999999999,
27
+ "eval_Micro F1": 0.996,
28
+ "eval_Micro Precision": 0.996,
29
+ "eval_Micro Recall": 0.996,
30
+ "eval_Weighted F1": 0.9959973769363069,
31
+ "eval_Weighted Precision": 0.9960145106065283,
32
+ "eval_Weighted Recall": 0.996,
33
+ "eval_accuracy": 0.996,
34
+ "eval_loss": 0.019310180097818375,
35
+ "eval_runtime": 2683.3608,
36
+ "eval_samples_per_second": 1.118,
37
+ "eval_steps_per_second": 0.14,
38
+ "step": 938
39
+ },
40
+ {
41
+ "epoch": 1.07,
42
+ "learning_rate": 0.00012892679459843638,
43
+ "loss": 0.0308,
44
+ "step": 1000
45
+ },
46
+ {
47
+ "epoch": 1.6,
48
+ "learning_rate": 9.339019189765458e-05,
49
+ "loss": 0.0154,
50
+ "step": 1500
51
+ },
52
+ {
53
+ "epoch": 2.0,
54
+ "eval_Macro F1": 0.9986658207966397,
55
+ "eval_Macro Precision": 0.9986716417910447,
56
+ "eval_Macro Recall": 0.9986666666666666,
57
+ "eval_Micro F1": 0.9986666666666667,
58
+ "eval_Micro Precision": 0.9986666666666667,
59
+ "eval_Micro Recall": 0.9986666666666667,
60
+ "eval_Weighted F1": 0.9986658207966396,
61
+ "eval_Weighted Precision": 0.9986716417910447,
62
+ "eval_Weighted Recall": 0.9986666666666667,
63
+ "eval_accuracy": 0.9986666666666667,
64
+ "eval_loss": 0.006775494199246168,
65
+ "eval_runtime": 2708.2412,
66
+ "eval_samples_per_second": 1.108,
67
+ "eval_steps_per_second": 0.138,
68
+ "step": 1876
69
+ },
70
+ {
71
+ "epoch": 2.13,
72
+ "learning_rate": 5.785358919687278e-05,
73
+ "loss": 0.0043,
74
+ "step": 2000
75
+ },
76
+ {
77
+ "epoch": 2.67,
78
+ "learning_rate": 2.2316986496090973e-05,
79
+ "loss": 0.0018,
80
+ "step": 2500
81
+ },
82
+ {
83
+ "epoch": 3.0,
84
+ "eval_Macro F1": 1.0,
85
+ "eval_Macro Precision": 1.0,
86
+ "eval_Macro Recall": 1.0,
87
+ "eval_Micro F1": 1.0,
88
+ "eval_Micro Precision": 1.0,
89
+ "eval_Micro Recall": 1.0,
90
+ "eval_Weighted F1": 1.0,
91
+ "eval_Weighted Precision": 1.0,
92
+ "eval_Weighted Recall": 1.0,
93
+ "eval_accuracy": 1.0,
94
+ "eval_loss": 0.0014102862915024161,
95
+ "eval_runtime": 2685.9046,
96
+ "eval_samples_per_second": 1.117,
97
+ "eval_steps_per_second": 0.14,
98
+ "step": 2814
99
+ },
100
+ {
101
+ "epoch": 3.0,
102
+ "step": 2814,
103
+ "total_flos": 3.48754583632896e+18,
104
+ "train_loss": 0.047539065705179406,
105
+ "train_runtime": 128292.8579,
106
+ "train_samples_per_second": 0.351,
107
+ "train_steps_per_second": 0.022
108
+ }
109
+ ],
110
+ "max_steps": 2814,
111
+ "num_train_epochs": 3,
112
+ "total_flos": 3.48754583632896e+18,
113
+ "trial_name": null,
114
+ "trial_params": null
115
+ }