DunnBC22 commited on
Commit
42449d1
1 Parent(s): 19d2776

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": 0.1326927428720174,
4
+ "train_runtime": 3031.3636,
5
+ "train_samples_per_second": 2.84,
6
+ "train_steps_per_second": 0.178
7
+ }
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 0.1326927428720174,
4
+ "train_runtime": 3031.3636,
5
+ "train_samples_per_second": 2.84,
6
+ "train_steps_per_second": 0.178
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.4677282571792603,
3
+ "best_model_checkpoint": "efficientformer-l3-300-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": 1.2856,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_Macro F1": 0.6829381082877355,
19
+ "eval_Macro Precision": 0.8350353120824585,
20
+ "eval_Macro Recall": 0.7132755581668625,
21
+ "eval_Micro F1": 0.7284263959390863,
22
+ "eval_Micro Precision": 0.7284263959390863,
23
+ "eval_Micro Recall": 0.7284263959390863,
24
+ "eval_Weighted F1": 0.6797682506828647,
25
+ "eval_Weighted Precision": 0.8155889594150858,
26
+ "eval_Weighted Recall": 0.7284263959390863,
27
+ "eval_accuracy": 0.7284263959390863,
28
+ "eval_loss": 1.4677282571792603,
29
+ "eval_runtime": 55.8904,
30
+ "eval_samples_per_second": 7.05,
31
+ "eval_steps_per_second": 0.895,
32
+ "step": 180
33
+ },
34
+ {
35
+ "epoch": 2.0,
36
+ "eval_Macro F1": 0.7210799809493671,
37
+ "eval_Macro Precision": 0.8551367562533206,
38
+ "eval_Macro Recall": 0.7470624195624196,
39
+ "eval_Micro F1": 0.7563451776649746,
40
+ "eval_Micro Precision": 0.7563451776649747,
41
+ "eval_Micro Recall": 0.7563451776649747,
42
+ "eval_Weighted F1": 0.7145637014762343,
43
+ "eval_Weighted Precision": 0.838057800704047,
44
+ "eval_Weighted Recall": 0.7563451776649747,
45
+ "eval_accuracy": 0.7563451776649747,
46
+ "eval_loss": 2.142139434814453,
47
+ "eval_runtime": 55.9892,
48
+ "eval_samples_per_second": 7.037,
49
+ "eval_steps_per_second": 0.893,
50
+ "step": 360
51
+ },
52
+ {
53
+ "epoch": 2.78,
54
+ "learning_rate": 1.4814814814814815e-05,
55
+ "loss": 0.1405,
56
+ "step": 500
57
+ },
58
+ {
59
+ "epoch": 3.0,
60
+ "eval_Macro F1": 0.746538479329821,
61
+ "eval_Macro Precision": 0.8613483436853002,
62
+ "eval_Macro Recall": 0.7770945945945946,
63
+ "eval_Micro F1": 0.7817258883248731,
64
+ "eval_Micro Precision": 0.7817258883248731,
65
+ "eval_Micro Recall": 0.7817258883248731,
66
+ "eval_Weighted F1": 0.7380980846307298,
67
+ "eval_Weighted Precision": 0.8441917320889955,
68
+ "eval_Weighted Recall": 0.7817258883248731,
69
+ "eval_accuracy": 0.7817258883248731,
70
+ "eval_loss": 2.2760913372039795,
71
+ "eval_runtime": 42.0857,
72
+ "eval_samples_per_second": 9.362,
73
+ "eval_steps_per_second": 1.188,
74
+ "step": 540
75
+ },
76
+ {
77
+ "epoch": 3.0,
78
+ "step": 540,
79
+ "total_flos": 2.3625923638173696e+17,
80
+ "train_loss": 0.1326927428720174,
81
+ "train_runtime": 3031.3636,
82
+ "train_samples_per_second": 2.84,
83
+ "train_steps_per_second": 0.178
84
+ }
85
+ ],
86
+ "max_steps": 540,
87
+ "num_train_epochs": 3,
88
+ "total_flos": 2.3625923638173696e+17,
89
+ "trial_name": null,
90
+ "trial_params": null
91
+ }