Hugging Face's logo

Angy309
/
swinv2-tiny-patch4-window8-256-Lego-v2-3ep

Image Classification
Transformers
TensorBoard
Safetensors
swinv2
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
Angy309 commited on
Commit
fff2d54
•
1 Parent(s): bdcbf36

End of training

Browse files
Files changed (5) hide show
  1. all_results.json +13 -0
  2. eval_results.json +8 -0
  3. runs/May13_20-55-46_24cc275b3536/events.out.tfevents.1715634012.24cc275b3536.549.9 +3 -0
  4. train_results.json +8 -0
  5. trainer_state.json +155 -0
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_accuracy": 0.9196428571428571,
4
+ "eval_loss": 0.2128717005252838,
5
+ "eval_runtime": 1.7338,
6
+ "eval_samples_per_second": 64.599,
7
+ "eval_steps_per_second": 2.307,
8
+ "total_flos": 4.6849871171251814e+17,
9
+ "train_loss": 1.081290222349621,
10
+ "train_runtime": 252.638,
11
+ "train_samples_per_second": 74.419,
12
+ "train_steps_per_second": 0.582
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_accuracy": 0.9196428571428571,
4
+ "eval_loss": 0.2128717005252838,
5
+ "eval_runtime": 1.7338,
6
+ "eval_samples_per_second": 64.599,
7
+ "eval_steps_per_second": 2.307
8
+ }
runs/May13_20-55-46_24cc275b3536/events.out.tfevents.1715634012.24cc275b3536.549.9 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f64210bd2ec4ba73f1316d417a04574c00cf7b99ab1e0ae6c419b50fbbcb71a
3
+ size 411
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 4.6849871171251814e+17,
4
+ "train_loss": 1.081290222349621,
5
+ "train_runtime": 252.638,
6
+ "train_samples_per_second": 74.419,
7
+ "train_steps_per_second": 0.582
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9196428571428571,
3
+ "best_model_checkpoint": "swinv2-tiny-patch4-window8-256-Lego-v2-3ep/checkpoint-147",
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 147,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.20408163265306123,
13
+ "grad_norm": 4.521535396575928,
14
+ "learning_rate": 3.3333333333333335e-05,
15
+ "loss": 2.7556,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.40816326530612246,
20
+ "grad_norm": 7.520199775695801,
21
+ "learning_rate": 4.810606060606061e-05,
22
+ "loss": 2.4445,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.6122448979591837,
27
+ "grad_norm": 13.214489936828613,
28
+ "learning_rate": 4.431818181818182e-05,
29
+ "loss": 1.8022,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.8163265306122449,
34
+ "grad_norm": 14.265619277954102,
35
+ "learning_rate": 4.053030303030303e-05,
36
+ "loss": 1.3415,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 1.0,
41
+ "eval_accuracy": 0.7857142857142857,
42
+ "eval_loss": 0.6598730683326721,
43
+ "eval_runtime": 0.7369,
44
+ "eval_samples_per_second": 151.997,
45
+ "eval_steps_per_second": 5.428,
46
+ "step": 49
47
+ },
48
+ {
49
+ "epoch": 1.0204081632653061,
50
+ "grad_norm": 15.687291145324707,
51
+ "learning_rate": 3.6742424242424246e-05,
52
+ "loss": 1.138,
53
+ "step": 50
54
+ },
55
+ {
56
+ "epoch": 1.2244897959183674,
57
+ "grad_norm": 11.222309112548828,
58
+ "learning_rate": 3.295454545454545e-05,
59
+ "loss": 0.8949,
60
+ "step": 60
61
+ },
62
+ {
63
+ "epoch": 1.4285714285714286,
64
+ "grad_norm": 13.59701919555664,
65
+ "learning_rate": 2.916666666666667e-05,
66
+ "loss": 0.8637,
67
+ "step": 70
68
+ },
69
+ {
70
+ "epoch": 1.6326530612244898,
71
+ "grad_norm": 8.102276802062988,
72
+ "learning_rate": 2.537878787878788e-05,
73
+ "loss": 0.7632,
74
+ "step": 80
75
+ },
76
+ {
77
+ "epoch": 1.836734693877551,
78
+ "grad_norm": 10.037010192871094,
79
+ "learning_rate": 2.1590909090909093e-05,
80
+ "loss": 0.7005,
81
+ "step": 90
82
+ },
83
+ {
84
+ "epoch": 2.0,
85
+ "eval_accuracy": 0.8928571428571429,
86
+ "eval_loss": 0.3036225736141205,
87
+ "eval_runtime": 0.7855,
88
+ "eval_samples_per_second": 142.578,
89
+ "eval_steps_per_second": 5.092,
90
+ "step": 98
91
+ },
92
+ {
93
+ "epoch": 2.0408163265306123,
94
+ "grad_norm": 9.7354154586792,
95
+ "learning_rate": 1.7803030303030303e-05,
96
+ "loss": 0.6343,
97
+ "step": 100
98
+ },
99
+ {
100
+ "epoch": 2.2448979591836733,
101
+ "grad_norm": 8.97431468963623,
102
+ "learning_rate": 1.4015151515151515e-05,
103
+ "loss": 0.5505,
104
+ "step": 110
105
+ },
106
+ {
107
+ "epoch": 2.4489795918367347,
108
+ "grad_norm": 8.927824974060059,
109
+ "learning_rate": 1.0227272727272729e-05,
110
+ "loss": 0.5527,
111
+ "step": 120
112
+ },
113
+ {
114
+ "epoch": 2.6530612244897958,
115
+ "grad_norm": 7.921907424926758,
116
+ "learning_rate": 6.43939393939394e-06,
117
+ "loss": 0.4982,
118
+ "step": 130
119
+ },
120
+ {
121
+ "epoch": 2.857142857142857,
122
+ "grad_norm": 9.745354652404785,
123
+ "learning_rate": 2.651515151515152e-06,
124
+ "loss": 0.5615,
125
+ "step": 140
126
+ },
127
+ {
128
+ "epoch": 3.0,
129
+ "eval_accuracy": 0.9196428571428571,
130
+ "eval_loss": 0.2128717005252838,
131
+ "eval_runtime": 0.7718,
132
+ "eval_samples_per_second": 145.113,
133
+ "eval_steps_per_second": 5.183,
134
+ "step": 147
135
+ },
136
+ {
137
+ "epoch": 3.0,
138
+ "step": 147,
139
+ "total_flos": 4.6849871171251814e+17,
140
+ "train_loss": 1.081290222349621,
141
+ "train_runtime": 252.638,
142
+ "train_samples_per_second": 74.419,
143
+ "train_steps_per_second": 0.582
144
+ }
145
+ ],
146
+ "logging_steps": 10,
147
+ "max_steps": 147,
148
+ "num_input_tokens_seen": 0,
149
+ "num_train_epochs": 3,
150
+ "save_steps": 500,
151
+ "total_flos": 4.6849871171251814e+17,
152
+ "train_batch_size": 32,
153
+ "trial_name": null,
154
+ "trial_params": null
155
+ }