polejowska commited on
Commit
f306bcb
1 Parent(s): 4950fa3

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.98,
3
+ "eval_accuracy": 0.9166666666666666,
4
+ "eval_loss": 0.25919345021247864,
5
+ "eval_runtime": 4.8825,
6
+ "eval_samples_per_second": 154.838,
7
+ "eval_steps_per_second": 4.916,
8
+ "total_flos": 2.1241704283294925e+17,
9
+ "train_loss": 0.7265663851391185,
10
+ "train_runtime": 142.6799,
11
+ "train_samples_per_second": 60.555,
12
+ "train_steps_per_second": 0.463
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.98,
3
+ "eval_accuracy": 0.9166666666666666,
4
+ "eval_loss": 0.25919345021247864,
5
+ "eval_runtime": 4.8825,
6
+ "eval_samples_per_second": 154.838,
7
+ "eval_steps_per_second": 4.916
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.98,
3
+ "total_flos": 2.1241704283294925e+17,
4
+ "train_loss": 0.7265663851391185,
5
+ "train_runtime": 142.6799,
6
+ "train_samples_per_second": 60.555,
7
+ "train_steps_per_second": 0.463
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9166666666666666,
3
+ "best_model_checkpoint": "swin-tiny-patch4-window7-224-eurosat/checkpoint-66",
4
+ "epoch": 1.9777777777777779,
5
+ "global_step": 66,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.3,
12
+ "learning_rate": 4.745762711864407e-05,
13
+ "loss": 2.1648,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.59,
18
+ "learning_rate": 3.898305084745763e-05,
19
+ "loss": 1.1607,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.89,
24
+ "learning_rate": 3.050847457627119e-05,
25
+ "loss": 0.4904,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.98,
30
+ "eval_accuracy": 0.8783068783068783,
31
+ "eval_loss": 0.3856896162033081,
32
+ "eval_runtime": 4.8675,
33
+ "eval_samples_per_second": 155.315,
34
+ "eval_steps_per_second": 4.931,
35
+ "step": 33
36
+ },
37
+ {
38
+ "epoch": 1.21,
39
+ "learning_rate": 2.2033898305084748e-05,
40
+ "loss": 0.3647,
41
+ "step": 40
42
+ },
43
+ {
44
+ "epoch": 1.5,
45
+ "learning_rate": 1.3559322033898305e-05,
46
+ "loss": 0.2628,
47
+ "step": 50
48
+ },
49
+ {
50
+ "epoch": 1.8,
51
+ "learning_rate": 5.084745762711865e-06,
52
+ "loss": 0.2188,
53
+ "step": 60
54
+ },
55
+ {
56
+ "epoch": 1.98,
57
+ "eval_accuracy": 0.9166666666666666,
58
+ "eval_loss": 0.25919345021247864,
59
+ "eval_runtime": 4.9632,
60
+ "eval_samples_per_second": 152.321,
61
+ "eval_steps_per_second": 4.836,
62
+ "step": 66
63
+ },
64
+ {
65
+ "epoch": 1.98,
66
+ "step": 66,
67
+ "total_flos": 2.1241704283294925e+17,
68
+ "train_loss": 0.7265663851391185,
69
+ "train_runtime": 142.6799,
70
+ "train_samples_per_second": 60.555,
71
+ "train_steps_per_second": 0.463
72
+ }
73
+ ],
74
+ "max_steps": 66,
75
+ "num_train_epochs": 2,
76
+ "total_flos": 2.1241704283294925e+17,
77
+ "trial_name": null,
78
+ "trial_params": null
79
+ }