vincentiussgk
commited on
Commit
•
90693f2
1
Parent(s):
3273335
End of training
Browse files
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
"epoch": 2.98,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 2.
|
5 |
-
"eval_runtime": 7.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 2.
|
8 |
"total_flos": 1.0405550045270016e+18,
|
9 |
-
"train_loss": 2.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second": 0.
|
13 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.98,
|
3 |
+
"eval_accuracy": 0.87,
|
4 |
+
"eval_loss": 2.20873761177063,
|
5 |
+
"eval_runtime": 7.7498,
|
6 |
+
"eval_samples_per_second": 64.518,
|
7 |
+
"eval_steps_per_second": 2.065,
|
8 |
"total_flos": 1.0405550045270016e+18,
|
9 |
+
"train_loss": 2.9902408599853514,
|
10 |
+
"train_runtime": 619.8851,
|
11 |
+
"train_samples_per_second": 21.778,
|
12 |
+
"train_steps_per_second": 0.169
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 2.98,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 2.
|
5 |
-
"eval_runtime": 7.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 2.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.98,
|
3 |
+
"eval_accuracy": 0.87,
|
4 |
+
"eval_loss": 2.20873761177063,
|
5 |
+
"eval_runtime": 7.7498,
|
6 |
+
"eval_samples_per_second": 64.518,
|
7 |
+
"eval_steps_per_second": 2.065
|
8 |
}
|
runs/Jul27_08-11-15_b65b7ae3d286/events.out.tfevents.1690446159.b65b7ae3d286.307.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:24f38a39df808b3907bd34a2eaa0333fbaa8ad4dc423e5a192df690451eaf437
|
3 |
+
size 405
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 2.98,
|
3 |
"total_flos": 1.0405550045270016e+18,
|
4 |
-
"train_loss": 2.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.98,
|
3 |
"total_flos": 1.0405550045270016e+18,
|
4 |
+
"train_loss": 2.9902408599853514,
|
5 |
+
"train_runtime": 619.8851,
|
6 |
+
"train_samples_per_second": 21.778,
|
7 |
+
"train_steps_per_second": 0.169
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
"best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned-eurosat/checkpoint-105",
|
4 |
"epoch": 2.978723404255319,
|
5 |
"global_step": 105,
|
@@ -10,98 +10,98 @@
|
|
10 |
{
|
11 |
"epoch": 0.28,
|
12 |
"learning_rate": 4.545454545454546e-05,
|
13 |
-
"loss": 4.
|
14 |
"step": 10
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.57,
|
18 |
"learning_rate": 4.5212765957446815e-05,
|
19 |
-
"loss": 4.
|
20 |
"step": 20
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.85,
|
24 |
"learning_rate": 3.9893617021276594e-05,
|
25 |
-
"loss": 3.
|
26 |
"step": 30
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.99,
|
30 |
-
"eval_accuracy": 0.
|
31 |
-
"eval_loss": 3.
|
32 |
-
"eval_runtime": 7.
|
33 |
-
"eval_samples_per_second":
|
34 |
-
"eval_steps_per_second": 2.
|
35 |
"step": 35
|
36 |
},
|
37 |
{
|
38 |
"epoch": 1.13,
|
39 |
"learning_rate": 3.4574468085106386e-05,
|
40 |
-
"loss": 3.
|
41 |
"step": 40
|
42 |
},
|
43 |
{
|
44 |
"epoch": 1.42,
|
45 |
"learning_rate": 2.925531914893617e-05,
|
46 |
-
"loss": 2.
|
47 |
"step": 50
|
48 |
},
|
49 |
{
|
50 |
"epoch": 1.7,
|
51 |
"learning_rate": 2.393617021276596e-05,
|
52 |
-
"loss": 2.
|
53 |
"step": 60
|
54 |
},
|
55 |
{
|
56 |
"epoch": 1.99,
|
57 |
"learning_rate": 1.8617021276595745e-05,
|
58 |
-
"loss": 2.
|
59 |
"step": 70
|
60 |
},
|
61 |
{
|
62 |
"epoch": 1.99,
|
63 |
-
"eval_accuracy": 0.
|
64 |
-
"eval_loss": 2.
|
65 |
-
"eval_runtime": 7.
|
66 |
-
"eval_samples_per_second": 63.
|
67 |
-
"eval_steps_per_second": 2.
|
68 |
"step": 70
|
69 |
},
|
70 |
{
|
71 |
"epoch": 2.27,
|
72 |
"learning_rate": 1.3297872340425532e-05,
|
73 |
-
"loss": 2.
|
74 |
"step": 80
|
75 |
},
|
76 |
{
|
77 |
"epoch": 2.55,
|
78 |
"learning_rate": 7.97872340425532e-06,
|
79 |
-
"loss": 2.
|
80 |
"step": 90
|
81 |
},
|
82 |
{
|
83 |
"epoch": 2.84,
|
84 |
"learning_rate": 2.6595744680851065e-06,
|
85 |
-
"loss": 2.
|
86 |
"step": 100
|
87 |
},
|
88 |
{
|
89 |
"epoch": 2.98,
|
90 |
-
"eval_accuracy": 0.
|
91 |
-
"eval_loss": 2.
|
92 |
-
"eval_runtime": 7.
|
93 |
-
"eval_samples_per_second":
|
94 |
-
"eval_steps_per_second": 2.
|
95 |
"step": 105
|
96 |
},
|
97 |
{
|
98 |
"epoch": 2.98,
|
99 |
"step": 105,
|
100 |
"total_flos": 1.0405550045270016e+18,
|
101 |
-
"train_loss": 2.
|
102 |
-
"train_runtime":
|
103 |
-
"train_samples_per_second":
|
104 |
-
"train_steps_per_second": 0.
|
105 |
}
|
106 |
],
|
107 |
"max_steps": 105,
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.87,
|
3 |
"best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned-eurosat/checkpoint-105",
|
4 |
"epoch": 2.978723404255319,
|
5 |
"global_step": 105,
|
|
|
10 |
{
|
11 |
"epoch": 0.28,
|
12 |
"learning_rate": 4.545454545454546e-05,
|
13 |
+
"loss": 4.5776,
|
14 |
"step": 10
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.57,
|
18 |
"learning_rate": 4.5212765957446815e-05,
|
19 |
+
"loss": 4.0952,
|
20 |
"step": 20
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.85,
|
24 |
"learning_rate": 3.9893617021276594e-05,
|
25 |
+
"loss": 3.5415,
|
26 |
"step": 30
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.99,
|
30 |
+
"eval_accuracy": 0.842,
|
31 |
+
"eval_loss": 3.149888753890991,
|
32 |
+
"eval_runtime": 7.373,
|
33 |
+
"eval_samples_per_second": 67.815,
|
34 |
+
"eval_steps_per_second": 2.17,
|
35 |
"step": 35
|
36 |
},
|
37 |
{
|
38 |
"epoch": 1.13,
|
39 |
"learning_rate": 3.4574468085106386e-05,
|
40 |
+
"loss": 3.1728,
|
41 |
"step": 40
|
42 |
},
|
43 |
{
|
44 |
"epoch": 1.42,
|
45 |
"learning_rate": 2.925531914893617e-05,
|
46 |
+
"loss": 2.8857,
|
47 |
"step": 50
|
48 |
},
|
49 |
{
|
50 |
"epoch": 1.7,
|
51 |
"learning_rate": 2.393617021276596e-05,
|
52 |
+
"loss": 2.6506,
|
53 |
"step": 60
|
54 |
},
|
55 |
{
|
56 |
"epoch": 1.99,
|
57 |
"learning_rate": 1.8617021276595745e-05,
|
58 |
+
"loss": 2.4952,
|
59 |
"step": 70
|
60 |
},
|
61 |
{
|
62 |
"epoch": 1.99,
|
63 |
+
"eval_accuracy": 0.846,
|
64 |
+
"eval_loss": 2.4057259559631348,
|
65 |
+
"eval_runtime": 7.8474,
|
66 |
+
"eval_samples_per_second": 63.715,
|
67 |
+
"eval_steps_per_second": 2.039,
|
68 |
"step": 70
|
69 |
},
|
70 |
{
|
71 |
"epoch": 2.27,
|
72 |
"learning_rate": 1.3297872340425532e-05,
|
73 |
+
"loss": 2.37,
|
74 |
"step": 80
|
75 |
},
|
76 |
{
|
77 |
"epoch": 2.55,
|
78 |
"learning_rate": 7.97872340425532e-06,
|
79 |
+
"loss": 2.2899,
|
80 |
"step": 90
|
81 |
},
|
82 |
{
|
83 |
"epoch": 2.84,
|
84 |
"learning_rate": 2.6595744680851065e-06,
|
85 |
+
"loss": 2.2145,
|
86 |
"step": 100
|
87 |
},
|
88 |
{
|
89 |
"epoch": 2.98,
|
90 |
+
"eval_accuracy": 0.87,
|
91 |
+
"eval_loss": 2.20873761177063,
|
92 |
+
"eval_runtime": 7.3548,
|
93 |
+
"eval_samples_per_second": 67.983,
|
94 |
+
"eval_steps_per_second": 2.175,
|
95 |
"step": 105
|
96 |
},
|
97 |
{
|
98 |
"epoch": 2.98,
|
99 |
"step": 105,
|
100 |
"total_flos": 1.0405550045270016e+18,
|
101 |
+
"train_loss": 2.9902408599853514,
|
102 |
+
"train_runtime": 619.8851,
|
103 |
+
"train_samples_per_second": 21.778,
|
104 |
+
"train_steps_per_second": 0.169
|
105 |
}
|
106 |
],
|
107 |
"max_steps": 105,
|