hafidber commited on
Commit
91bea8a
1 Parent(s): c651370

End of training

Browse files
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.6328
21
- - Accuracy: 0.7692
22
 
23
  ## Model description
24
 
 
17
 
18
  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.6847
21
+ - Accuracy: 0.75
22
 
23
  ## Model description
24
 
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.2,
3
+ "eval_accuracy": 0.75,
4
+ "eval_loss": 0.6846519112586975,
5
+ "eval_runtime": 14.0555,
6
+ "eval_samples_per_second": 0.854,
7
+ "eval_steps_per_second": 0.427
8
+ }
runs/Jul02_19-45-22_c6d9a0630dcb/events.out.tfevents.1719950183.c6d9a0630dcb.4133.5 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d32e9f043196da7e8b5d47cb6e62eb6fdbdeb1c7e2071a09d4136cdb086b849b
3
- size 405
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab438901554fb6f68f8f2b184c3b5e8a747d69a21c4031db162e88e4ddd688d3
3
+ size 722
test_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.2,
3
+ "eval_accuracy": 0.75,
4
+ "eval_loss": 0.6846519112586975,
5
+ "eval_runtime": 14.0555,
6
+ "eval_samples_per_second": 0.854,
7
+ "eval_steps_per_second": 0.427
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,189 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.0,
3
+ "best_model_checkpoint": "videomae-base-finetuned-Risky-situations/checkpoint-25",
4
+ "epoch": 4.2,
5
+ "eval_steps": 500,
6
+ "global_step": 125,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.08,
13
+ "grad_norm": 8.516080856323242,
14
+ "learning_rate": 3.846153846153846e-05,
15
+ "loss": 0.5136,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.16,
20
+ "grad_norm": 40.52229690551758,
21
+ "learning_rate": 4.6875e-05,
22
+ "loss": 0.4618,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.2,
27
+ "eval_accuracy": 1.0,
28
+ "eval_loss": 0.010277315974235535,
29
+ "eval_runtime": 11.9488,
30
+ "eval_samples_per_second": 1.004,
31
+ "eval_steps_per_second": 0.502,
32
+ "step": 25
33
+ },
34
+ {
35
+ "epoch": 1.04,
36
+ "grad_norm": 110.08763122558594,
37
+ "learning_rate": 4.2410714285714285e-05,
38
+ "loss": 0.0748,
39
+ "step": 30
40
+ },
41
+ {
42
+ "epoch": 1.12,
43
+ "grad_norm": 14.86829662322998,
44
+ "learning_rate": 3.794642857142857e-05,
45
+ "loss": 0.6214,
46
+ "step": 40
47
+ },
48
+ {
49
+ "epoch": 1.2,
50
+ "grad_norm": 0.27806639671325684,
51
+ "learning_rate": 3.348214285714286e-05,
52
+ "loss": 0.3548,
53
+ "step": 50
54
+ },
55
+ {
56
+ "epoch": 1.2,
57
+ "eval_accuracy": 1.0,
58
+ "eval_loss": 0.002936301752924919,
59
+ "eval_runtime": 11.6674,
60
+ "eval_samples_per_second": 1.029,
61
+ "eval_steps_per_second": 0.514,
62
+ "step": 50
63
+ },
64
+ {
65
+ "epoch": 2.08,
66
+ "grad_norm": 0.032773926854133606,
67
+ "learning_rate": 2.9017857142857146e-05,
68
+ "loss": 0.2253,
69
+ "step": 60
70
+ },
71
+ {
72
+ "epoch": 2.16,
73
+ "grad_norm": 0.036098264157772064,
74
+ "learning_rate": 2.455357142857143e-05,
75
+ "loss": 0.2182,
76
+ "step": 70
77
+ },
78
+ {
79
+ "epoch": 2.2,
80
+ "eval_accuracy": 1.0,
81
+ "eval_loss": 0.0008991466020233929,
82
+ "eval_runtime": 11.8302,
83
+ "eval_samples_per_second": 1.014,
84
+ "eval_steps_per_second": 0.507,
85
+ "step": 75
86
+ },
87
+ {
88
+ "epoch": 3.04,
89
+ "grad_norm": 0.034782785922288895,
90
+ "learning_rate": 2.0089285714285717e-05,
91
+ "loss": 0.0011,
92
+ "step": 80
93
+ },
94
+ {
95
+ "epoch": 3.12,
96
+ "grad_norm": 0.4517887532711029,
97
+ "learning_rate": 1.5625e-05,
98
+ "loss": 0.3581,
99
+ "step": 90
100
+ },
101
+ {
102
+ "epoch": 3.2,
103
+ "grad_norm": 3.7396240234375,
104
+ "learning_rate": 1.1160714285714287e-05,
105
+ "loss": 0.2513,
106
+ "step": 100
107
+ },
108
+ {
109
+ "epoch": 3.2,
110
+ "eval_accuracy": 1.0,
111
+ "eval_loss": 0.003270552260801196,
112
+ "eval_runtime": 11.5723,
113
+ "eval_samples_per_second": 1.037,
114
+ "eval_steps_per_second": 0.518,
115
+ "step": 100
116
+ },
117
+ {
118
+ "epoch": 4.08,
119
+ "grad_norm": 357.18890380859375,
120
+ "learning_rate": 6.696428571428572e-06,
121
+ "loss": 0.2286,
122
+ "step": 110
123
+ },
124
+ {
125
+ "epoch": 4.16,
126
+ "grad_norm": 0.019339008256793022,
127
+ "learning_rate": 2.2321428571428573e-06,
128
+ "loss": 0.0021,
129
+ "step": 120
130
+ },
131
+ {
132
+ "epoch": 4.2,
133
+ "eval_accuracy": 1.0,
134
+ "eval_loss": 0.0007905661477707326,
135
+ "eval_runtime": 14.2671,
136
+ "eval_samples_per_second": 0.841,
137
+ "eval_steps_per_second": 0.421,
138
+ "step": 125
139
+ },
140
+ {
141
+ "epoch": 4.2,
142
+ "step": 125,
143
+ "total_flos": 3.11516147367936e+17,
144
+ "train_loss": 0.26490905868075787,
145
+ "train_runtime": 483.7689,
146
+ "train_samples_per_second": 0.517,
147
+ "train_steps_per_second": 0.258
148
+ },
149
+ {
150
+ "epoch": 4.2,
151
+ "eval_accuracy": 0.7692307692307693,
152
+ "eval_loss": 0.6328043341636658,
153
+ "eval_runtime": 16.8871,
154
+ "eval_samples_per_second": 0.77,
155
+ "eval_steps_per_second": 0.415,
156
+ "step": 125
157
+ },
158
+ {
159
+ "epoch": 4.2,
160
+ "eval_accuracy": 0.75,
161
+ "eval_loss": 0.6846519112586975,
162
+ "eval_runtime": 14.0555,
163
+ "eval_samples_per_second": 0.854,
164
+ "eval_steps_per_second": 0.427,
165
+ "step": 125
166
+ }
167
+ ],
168
+ "logging_steps": 10,
169
+ "max_steps": 125,
170
+ "num_input_tokens_seen": 0,
171
+ "num_train_epochs": 9223372036854775807,
172
+ "save_steps": 500,
173
+ "stateful_callbacks": {
174
+ "TrainerControl": {
175
+ "args": {
176
+ "should_epoch_stop": false,
177
+ "should_evaluate": false,
178
+ "should_log": false,
179
+ "should_save": true,
180
+ "should_training_stop": true
181
+ },
182
+ "attributes": {}
183
+ }
184
+ },
185
+ "total_flos": 3.11516147367936e+17,
186
+ "train_batch_size": 2,
187
+ "trial_name": null,
188
+ "trial_params": null
189
+ }