Hugging Face's logo

nateraw
/
videomae-base-finetuned-ucf101-subset

Video Classification
Transformers
PyTorch
TensorBoard
videomae
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
1
nateraw commited on
Commit
a54e68e
•
1 Parent(s): ea886e8

End of training

Browse files
Files changed (4) hide show
  1. all_results.json +8 -0
  2. runs/Nov14_16-11-57_c1a8877717cd/events.out.tfevents.1668442584.c1a8877717cd.107.2 +2 -2
  3. test_results.json +8 -0
  4. trainer_state.json +163 -0
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.23,
3
+ "eval_accuracy": 0.8516129032258064,
4
+ "eval_loss": 0.5003897547721863,
5
+ "eval_runtime": 13.4341,
6
+ "eval_samples_per_second": 11.538,
7
+ "eval_steps_per_second": 1.489
8
+ }
runs/Nov14_16-11-57_c1a8877717cd/events.out.tfevents.1668442584.c1a8877717cd.107.2 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bfd2e6725ee0750db006731cc37c384d73f3b744d7153bb171fe8ea06dec851b
3
- size 363
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e0f58f0354a26a81366a7c86b82d749fa889cf26a91d45f0d82aee07682aa82c
3
+ size 686
test_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.23,
3
+ "eval_accuracy": 0.8516129032258064,
4
+ "eval_loss": 0.5003897547721863,
5
+ "eval_runtime": 13.4341,
6
+ "eval_samples_per_second": 11.538,
7
+ "eval_steps_per_second": 1.489
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,163 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9142857142857143,
3
+ "best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-148",
4
+ "epoch": 3.22972972972973,
5
+ "global_step": 148,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.07,
12
+ "learning_rate": 3.3333333333333335e-05,
13
+ "loss": 2.3117,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.14,
18
+ "learning_rate": 4.81203007518797e-05,
19
+ "loss": 2.1973,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.2,
24
+ "learning_rate": 4.43609022556391e-05,
25
+ "loss": 2.143,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.26,
30
+ "eval_accuracy": 0.5,
31
+ "eval_loss": 1.8738905191421509,
32
+ "eval_runtime": 6.1995,
33
+ "eval_samples_per_second": 11.291,
34
+ "eval_steps_per_second": 1.452,
35
+ "step": 38
36
+ },
37
+ {
38
+ "epoch": 1.01,
39
+ "learning_rate": 4.0601503759398494e-05,
40
+ "loss": 2.0085,
41
+ "step": 40
42
+ },
43
+ {
44
+ "epoch": 1.08,
45
+ "learning_rate": 3.6842105263157895e-05,
46
+ "loss": 1.6213,
47
+ "step": 50
48
+ },
49
+ {
50
+ "epoch": 1.15,
51
+ "learning_rate": 3.3082706766917295e-05,
52
+ "loss": 1.322,
53
+ "step": 60
54
+ },
55
+ {
56
+ "epoch": 1.22,
57
+ "learning_rate": 2.9323308270676693e-05,
58
+ "loss": 0.9177,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 1.26,
63
+ "eval_accuracy": 0.7857142857142857,
64
+ "eval_loss": 0.9705972075462341,
65
+ "eval_runtime": 6.3319,
66
+ "eval_samples_per_second": 11.055,
67
+ "eval_steps_per_second": 1.421,
68
+ "step": 76
69
+ },
70
+ {
71
+ "epoch": 2.03,
72
+ "learning_rate": 2.556390977443609e-05,
73
+ "loss": 0.9302,
74
+ "step": 80
75
+ },
76
+ {
77
+ "epoch": 2.09,
78
+ "learning_rate": 2.1804511278195487e-05,
79
+ "loss": 0.6676,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 2.16,
84
+ "learning_rate": 1.8045112781954888e-05,
85
+ "loss": 0.585,
86
+ "step": 100
87
+ },
88
+ {
89
+ "epoch": 2.23,
90
+ "learning_rate": 1.4285714285714285e-05,
91
+ "loss": 0.4706,
92
+ "step": 110
93
+ },
94
+ {
95
+ "epoch": 2.26,
96
+ "eval_accuracy": 0.8428571428571429,
97
+ "eval_loss": 0.5700908899307251,
98
+ "eval_runtime": 6.2602,
99
+ "eval_samples_per_second": 11.182,
100
+ "eval_steps_per_second": 1.438,
101
+ "step": 114
102
+ },
103
+ {
104
+ "epoch": 3.04,
105
+ "learning_rate": 1.0526315789473684e-05,
106
+ "loss": 0.3946,
107
+ "step": 120
108
+ },
109
+ {
110
+ "epoch": 3.11,
111
+ "learning_rate": 6.766917293233083e-06,
112
+ "loss": 0.2974,
113
+ "step": 130
114
+ },
115
+ {
116
+ "epoch": 3.18,
117
+ "learning_rate": 3.007518796992481e-06,
118
+ "loss": 0.2895,
119
+ "step": 140
120
+ },
121
+ {
122
+ "epoch": 3.23,
123
+ "eval_accuracy": 0.9142857142857143,
124
+ "eval_loss": 0.41213229298591614,
125
+ "eval_runtime": 6.1617,
126
+ "eval_samples_per_second": 11.36,
127
+ "eval_steps_per_second": 1.461,
128
+ "step": 148
129
+ },
130
+ {
131
+ "epoch": 3.23,
132
+ "step": 148,
133
+ "total_flos": 1.460491890402263e+18,
134
+ "train_loss": 1.1060102565868482,
135
+ "train_runtime": 228.6736,
136
+ "train_samples_per_second": 5.178,
137
+ "train_steps_per_second": 0.647
138
+ },
139
+ {
140
+ "epoch": 3.23,
141
+ "eval_accuracy": 0.8516129032258064,
142
+ "eval_loss": 0.5003896951675415,
143
+ "eval_runtime": 14.2101,
144
+ "eval_samples_per_second": 10.908,
145
+ "eval_steps_per_second": 1.407,
146
+ "step": 148
147
+ },
148
+ {
149
+ "epoch": 3.23,
150
+ "eval_accuracy": 0.8516129032258064,
151
+ "eval_loss": 0.5003897547721863,
152
+ "eval_runtime": 13.4341,
153
+ "eval_samples_per_second": 11.538,
154
+ "eval_steps_per_second": 1.489,
155
+ "step": 148
156
+ }
157
+ ],
158
+ "max_steps": 148,
159
+ "num_train_epochs": 9223372036854775807,
160
+ "total_flos": 1.460491890402263e+18,
161
+ "trial_name": null,
162
+ "trial_params": null
163
+ }