End of training
Browse files- README.md +3 -3
- all_results.json +9 -9
- eval_results.json +5 -5
- runs/Nov20_14-59-03_a6bc77c9179a/events.out.tfevents.1700495739.a6bc77c9179a.1727.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +52 -52
README.md
CHANGED
@@ -22,7 +22,7 @@ model-index:
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
-
value: 0.
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
32 |
|
33 |
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
-
- Loss: 0.
|
36 |
-
- Accuracy: 0.
|
37 |
|
38 |
## Model description
|
39 |
|
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
+
value: 0.8035714285714286
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
32 |
|
33 |
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 0.6641
|
36 |
+
- Accuracy: 0.8036
|
37 |
|
38 |
## Model description
|
39 |
|
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
"epoch": 9.0,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
"total_flos": 1.111839453941207e+17,
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second": 1.
|
12 |
-
"train_steps_per_second": 0.
|
13 |
}
|
|
|
1 |
{
|
2 |
"epoch": 9.0,
|
3 |
+
"eval_accuracy": 0.8035714285714286,
|
4 |
+
"eval_loss": 0.664064884185791,
|
5 |
+
"eval_runtime": 12.3586,
|
6 |
+
"eval_samples_per_second": 4.531,
|
7 |
+
"eval_steps_per_second": 0.162,
|
8 |
"total_flos": 1.111839453941207e+17,
|
9 |
+
"train_loss": 0.6180701586935256,
|
10 |
+
"train_runtime": 3294.7862,
|
11 |
+
"train_samples_per_second": 1.358,
|
12 |
+
"train_steps_per_second": 0.011
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 9.0,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 9.0,
|
3 |
+
"eval_accuracy": 0.8035714285714286,
|
4 |
+
"eval_loss": 0.664064884185791,
|
5 |
+
"eval_runtime": 12.3586,
|
6 |
+
"eval_samples_per_second": 4.531,
|
7 |
+
"eval_steps_per_second": 0.162
|
8 |
}
|
runs/Nov20_14-59-03_a6bc77c9179a/events.out.tfevents.1700495739.a6bc77c9179a.1727.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:999472239cdf9b9ae1716d9a2ac617d18e343924c7bb0a6a4587f36b5590ffdb
|
3 |
+
size 405
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 9.0,
|
3 |
"total_flos": 1.111839453941207e+17,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second": 1.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 9.0,
|
3 |
"total_flos": 1.111839453941207e+17,
|
4 |
+
"train_loss": 0.6180701586935256,
|
5 |
+
"train_runtime": 3294.7862,
|
6 |
+
"train_samples_per_second": 1.358,
|
7 |
+
"train_steps_per_second": 0.011
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-cp3/checkpoint-
|
4 |
"epoch": 9.0,
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 36,
|
@@ -10,111 +10,111 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
-
"eval_accuracy": 0.
|
14 |
-
"eval_loss": 0.
|
15 |
-
"eval_runtime":
|
16 |
-
"eval_samples_per_second":
|
17 |
-
"eval_steps_per_second": 0.
|
18 |
"step": 4
|
19 |
},
|
20 |
{
|
21 |
"epoch": 2.0,
|
22 |
-
"eval_accuracy": 0.
|
23 |
-
"eval_loss": 0.
|
24 |
-
"eval_runtime":
|
25 |
-
"eval_samples_per_second":
|
26 |
-
"eval_steps_per_second": 0.
|
27 |
"step": 8
|
28 |
},
|
29 |
{
|
30 |
"epoch": 2.5,
|
31 |
"learning_rate": 4.0625000000000005e-05,
|
32 |
-
"loss": 0.
|
33 |
"step": 10
|
34 |
},
|
35 |
{
|
36 |
"epoch": 3.0,
|
37 |
-
"eval_accuracy": 0.
|
38 |
-
"eval_loss": 0.
|
39 |
-
"eval_runtime":
|
40 |
-
"eval_samples_per_second": 4.
|
41 |
-
"eval_steps_per_second": 0.
|
42 |
"step": 12
|
43 |
},
|
44 |
{
|
45 |
"epoch": 4.0,
|
46 |
-
"eval_accuracy": 0.
|
47 |
-
"eval_loss": 0.
|
48 |
-
"eval_runtime":
|
49 |
-
"eval_samples_per_second":
|
50 |
-
"eval_steps_per_second": 0.
|
51 |
"step": 16
|
52 |
},
|
53 |
{
|
54 |
"epoch": 5.0,
|
55 |
"learning_rate": 2.5e-05,
|
56 |
-
"loss": 0.
|
57 |
"step": 20
|
58 |
},
|
59 |
{
|
60 |
"epoch": 5.0,
|
61 |
"eval_accuracy": 0.7678571428571429,
|
62 |
-
"eval_loss": 0.
|
63 |
-
"eval_runtime":
|
64 |
-
"eval_samples_per_second":
|
65 |
-
"eval_steps_per_second": 0.
|
66 |
"step": 20
|
67 |
},
|
68 |
{
|
69 |
"epoch": 6.0,
|
70 |
"eval_accuracy": 0.8035714285714286,
|
71 |
-
"eval_loss": 0.
|
72 |
-
"eval_runtime":
|
73 |
-
"eval_samples_per_second":
|
74 |
-
"eval_steps_per_second": 0.
|
75 |
"step": 24
|
76 |
},
|
77 |
{
|
78 |
"epoch": 7.0,
|
79 |
-
"eval_accuracy": 0.
|
80 |
-
"eval_loss": 0.
|
81 |
-
"eval_runtime":
|
82 |
-
"eval_samples_per_second":
|
83 |
-
"eval_steps_per_second": 0.
|
84 |
"step": 28
|
85 |
},
|
86 |
{
|
87 |
"epoch": 7.5,
|
88 |
"learning_rate": 9.375000000000001e-06,
|
89 |
-
"loss": 0.
|
90 |
"step": 30
|
91 |
},
|
92 |
{
|
93 |
"epoch": 8.0,
|
94 |
-
"eval_accuracy": 0.
|
95 |
-
"eval_loss": 0.
|
96 |
-
"eval_runtime":
|
97 |
-
"eval_samples_per_second":
|
98 |
-
"eval_steps_per_second": 0.
|
99 |
"step": 32
|
100 |
},
|
101 |
{
|
102 |
"epoch": 9.0,
|
103 |
-
"eval_accuracy": 0.
|
104 |
-
"eval_loss": 0.
|
105 |
-
"eval_runtime":
|
106 |
-
"eval_samples_per_second":
|
107 |
-
"eval_steps_per_second": 0.
|
108 |
"step": 36
|
109 |
},
|
110 |
{
|
111 |
"epoch": 9.0,
|
112 |
"step": 36,
|
113 |
"total_flos": 1.111839453941207e+17,
|
114 |
-
"train_loss": 0.
|
115 |
-
"train_runtime":
|
116 |
-
"train_samples_per_second": 1.
|
117 |
-
"train_steps_per_second": 0.
|
118 |
}
|
119 |
],
|
120 |
"logging_steps": 10,
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.8035714285714286,
|
3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-cp3/checkpoint-16",
|
4 |
"epoch": 9.0,
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 36,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
+
"eval_accuracy": 0.6964285714285714,
|
14 |
+
"eval_loss": 0.8433873057365417,
|
15 |
+
"eval_runtime": 12.521,
|
16 |
+
"eval_samples_per_second": 4.472,
|
17 |
+
"eval_steps_per_second": 0.16,
|
18 |
"step": 4
|
19 |
},
|
20 |
{
|
21 |
"epoch": 2.0,
|
22 |
+
"eval_accuracy": 0.7321428571428571,
|
23 |
+
"eval_loss": 0.7171021103858948,
|
24 |
+
"eval_runtime": 12.39,
|
25 |
+
"eval_samples_per_second": 4.52,
|
26 |
+
"eval_steps_per_second": 0.161,
|
27 |
"step": 8
|
28 |
},
|
29 |
{
|
30 |
"epoch": 2.5,
|
31 |
"learning_rate": 4.0625000000000005e-05,
|
32 |
+
"loss": 0.797,
|
33 |
"step": 10
|
34 |
},
|
35 |
{
|
36 |
"epoch": 3.0,
|
37 |
+
"eval_accuracy": 0.7321428571428571,
|
38 |
+
"eval_loss": 0.6664790511131287,
|
39 |
+
"eval_runtime": 12.5474,
|
40 |
+
"eval_samples_per_second": 4.463,
|
41 |
+
"eval_steps_per_second": 0.159,
|
42 |
"step": 12
|
43 |
},
|
44 |
{
|
45 |
"epoch": 4.0,
|
46 |
+
"eval_accuracy": 0.8035714285714286,
|
47 |
+
"eval_loss": 0.664064884185791,
|
48 |
+
"eval_runtime": 12.6853,
|
49 |
+
"eval_samples_per_second": 4.415,
|
50 |
+
"eval_steps_per_second": 0.158,
|
51 |
"step": 16
|
52 |
},
|
53 |
{
|
54 |
"epoch": 5.0,
|
55 |
"learning_rate": 2.5e-05,
|
56 |
+
"loss": 0.5977,
|
57 |
"step": 20
|
58 |
},
|
59 |
{
|
60 |
"epoch": 5.0,
|
61 |
"eval_accuracy": 0.7678571428571429,
|
62 |
+
"eval_loss": 0.6915168166160583,
|
63 |
+
"eval_runtime": 12.6038,
|
64 |
+
"eval_samples_per_second": 4.443,
|
65 |
+
"eval_steps_per_second": 0.159,
|
66 |
"step": 20
|
67 |
},
|
68 |
{
|
69 |
"epoch": 6.0,
|
70 |
"eval_accuracy": 0.8035714285714286,
|
71 |
+
"eval_loss": 0.6244821548461914,
|
72 |
+
"eval_runtime": 12.8475,
|
73 |
+
"eval_samples_per_second": 4.359,
|
74 |
+
"eval_steps_per_second": 0.156,
|
75 |
"step": 24
|
76 |
},
|
77 |
{
|
78 |
"epoch": 7.0,
|
79 |
+
"eval_accuracy": 0.7678571428571429,
|
80 |
+
"eval_loss": 0.6159235239028931,
|
81 |
+
"eval_runtime": 12.5518,
|
82 |
+
"eval_samples_per_second": 4.462,
|
83 |
+
"eval_steps_per_second": 0.159,
|
84 |
"step": 28
|
85 |
},
|
86 |
{
|
87 |
"epoch": 7.5,
|
88 |
"learning_rate": 9.375000000000001e-06,
|
89 |
+
"loss": 0.5246,
|
90 |
"step": 30
|
91 |
},
|
92 |
{
|
93 |
"epoch": 8.0,
|
94 |
+
"eval_accuracy": 0.7321428571428571,
|
95 |
+
"eval_loss": 0.6760005950927734,
|
96 |
+
"eval_runtime": 12.5229,
|
97 |
+
"eval_samples_per_second": 4.472,
|
98 |
+
"eval_steps_per_second": 0.16,
|
99 |
"step": 32
|
100 |
},
|
101 |
{
|
102 |
"epoch": 9.0,
|
103 |
+
"eval_accuracy": 0.6607142857142857,
|
104 |
+
"eval_loss": 0.6978439092636108,
|
105 |
+
"eval_runtime": 12.5018,
|
106 |
+
"eval_samples_per_second": 4.479,
|
107 |
+
"eval_steps_per_second": 0.16,
|
108 |
"step": 36
|
109 |
},
|
110 |
{
|
111 |
"epoch": 9.0,
|
112 |
"step": 36,
|
113 |
"total_flos": 1.111839453941207e+17,
|
114 |
+
"train_loss": 0.6180701586935256,
|
115 |
+
"train_runtime": 3294.7862,
|
116 |
+
"train_samples_per_second": 1.358,
|
117 |
+
"train_steps_per_second": 0.011
|
118 |
}
|
119 |
],
|
120 |
"logging_steps": 10,
|