mjahmadi commited on
Commit
c3e48d4
1 Parent(s): 5dae22b

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.2083333333333335,
3
+ "eval_accuracy": 0.8125,
4
+ "eval_loss": 0.49713489413261414,
5
+ "eval_runtime": 76.9137,
6
+ "eval_samples_per_second": 1.872,
7
+ "eval_steps_per_second": 0.234
8
+ }
runs/May16_11-31-38_066d362f8a64/events.out.tfevents.1715859975.066d362f8a64.2051.1 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:10c56119b59ea205416259d1c14fac66dc8f4218e605c9be890540d3292d5b57
3
- size 405
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dd76efe5ad96a631857cc16b77e539e7ef114d5efb31652ee78479bb999ae6f8
3
+ size 722
test_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.2083333333333335,
3
+ "eval_accuracy": 0.8125,
4
+ "eval_loss": 0.49713489413261414,
5
+ "eval_runtime": 76.9137,
6
+ "eval_samples_per_second": 1.872,
7
+ "eval_steps_per_second": 0.234
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,133 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8571428571428571,
3
+ "best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-19",
4
+ "epoch": 3.2083333333333335,
5
+ "eval_steps": 500,
6
+ "global_step": 72,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.1388888888888889,
13
+ "grad_norm": 4.645142078399658,
14
+ "learning_rate": 4.8437500000000005e-05,
15
+ "loss": 0.6033,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.2638888888888889,
20
+ "eval_accuracy": 0.8571428571428571,
21
+ "eval_loss": 0.4074406027793884,
22
+ "eval_runtime": 98.6257,
23
+ "eval_samples_per_second": 1.916,
24
+ "eval_steps_per_second": 0.243,
25
+ "step": 19
26
+ },
27
+ {
28
+ "epoch": 1.0138888888888888,
29
+ "grad_norm": 1.9824458360671997,
30
+ "learning_rate": 4.0625000000000005e-05,
31
+ "loss": 0.4803,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 1.1527777777777777,
36
+ "grad_norm": 3.7689878940582275,
37
+ "learning_rate": 3.2812500000000005e-05,
38
+ "loss": 0.4788,
39
+ "step": 30
40
+ },
41
+ {
42
+ "epoch": 1.2638888888888888,
43
+ "eval_accuracy": 0.8571428571428571,
44
+ "eval_loss": 0.394088476896286,
45
+ "eval_runtime": 98.7086,
46
+ "eval_samples_per_second": 1.915,
47
+ "eval_steps_per_second": 0.243,
48
+ "step": 38
49
+ },
50
+ {
51
+ "epoch": 2.0277777777777777,
52
+ "grad_norm": 2.8333206176757812,
53
+ "learning_rate": 2.5e-05,
54
+ "loss": 0.4364,
55
+ "step": 40
56
+ },
57
+ {
58
+ "epoch": 2.1666666666666665,
59
+ "grad_norm": 5.9353437423706055,
60
+ "learning_rate": 1.71875e-05,
61
+ "loss": 0.6026,
62
+ "step": 50
63
+ },
64
+ {
65
+ "epoch": 2.263888888888889,
66
+ "eval_accuracy": 0.8571428571428571,
67
+ "eval_loss": 0.3900613486766815,
68
+ "eval_runtime": 98.4982,
69
+ "eval_samples_per_second": 1.919,
70
+ "eval_steps_per_second": 0.244,
71
+ "step": 57
72
+ },
73
+ {
74
+ "epoch": 3.0416666666666665,
75
+ "grad_norm": 2.219437837600708,
76
+ "learning_rate": 9.375000000000001e-06,
77
+ "loss": 0.3754,
78
+ "step": 60
79
+ },
80
+ {
81
+ "epoch": 3.1805555555555554,
82
+ "grad_norm": 3.425725221633911,
83
+ "learning_rate": 1.5625e-06,
84
+ "loss": 0.3941,
85
+ "step": 70
86
+ },
87
+ {
88
+ "epoch": 3.2083333333333335,
89
+ "eval_accuracy": 0.8571428571428571,
90
+ "eval_loss": 0.3870747983455658,
91
+ "eval_runtime": 98.2584,
92
+ "eval_samples_per_second": 1.923,
93
+ "eval_steps_per_second": 0.244,
94
+ "step": 72
95
+ },
96
+ {
97
+ "epoch": 3.2083333333333335,
98
+ "step": 72,
99
+ "total_flos": 7.065186222304788e+17,
100
+ "train_loss": 0.48999224934313035,
101
+ "train_runtime": 758.8617,
102
+ "train_samples_per_second": 0.759,
103
+ "train_steps_per_second": 0.095
104
+ },
105
+ {
106
+ "epoch": 3.2083333333333335,
107
+ "eval_accuracy": 0.8125,
108
+ "eval_loss": 0.4971349537372589,
109
+ "eval_runtime": 76.4707,
110
+ "eval_samples_per_second": 1.883,
111
+ "eval_steps_per_second": 0.235,
112
+ "step": 72
113
+ },
114
+ {
115
+ "epoch": 3.2083333333333335,
116
+ "eval_accuracy": 0.8125,
117
+ "eval_loss": 0.49713489413261414,
118
+ "eval_runtime": 76.9137,
119
+ "eval_samples_per_second": 1.872,
120
+ "eval_steps_per_second": 0.234,
121
+ "step": 72
122
+ }
123
+ ],
124
+ "logging_steps": 10,
125
+ "max_steps": 72,
126
+ "num_input_tokens_seen": 0,
127
+ "num_train_epochs": 9223372036854775807,
128
+ "save_steps": 500,
129
+ "total_flos": 7.065186222304788e+17,
130
+ "train_batch_size": 8,
131
+ "trial_name": null,
132
+ "trial_params": null
133
+ }