Hugging Face's logo

beingbatman
/
MAE-CT-M1N0-M12_v8_split1

Video Classification
Transformers
Safetensors
videomae
Generated from Trainer
Inference Endpoints
Model card Files Community
beingbatman commited on
Commit
19f5c73
·
verified ·
1 Parent(s): 8bee5ea

Model save

Browse files
Files changed (2) hide show
  1. README.md +160 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,160 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: cc-by-nc-4.0
4
+ base_model: MCG-NJU/videomae-large-finetuned-kinetics
5
+ tags:
6
+ - generated_from_trainer
7
+ metrics:
8
+ - accuracy
9
+ model-index:
10
+ - name: MAE-CT-M1N0-M12_v8_split1
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # MAE-CT-M1N0-M12_v8_split1
18
+
19
+ This model is a fine-tuned version of [MCG-NJU/videomae-large-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-large-finetuned-kinetics) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 1.4264
22
+ - Accuracy: 0.7297
23
+
24
+ ## Model description
25
+
26
+ More information needed
27
+
28
+ ## Intended uses & limitations
29
+
30
+ More information needed
31
+
32
+ ## Training and evaluation data
33
+
34
+ More information needed
35
+
36
+ ## Training procedure
37
+
38
+ ### Training hyperparameters
39
+
40
+ The following hyperparameters were used during training:
41
+ - learning_rate: 1e-05
42
+ - train_batch_size: 4
43
+ - eval_batch_size: 4
44
+ - seed: 42
45
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
46
+ - lr_scheduler_type: linear
47
+ - lr_scheduler_warmup_ratio: 0.1
48
+ - training_steps: 6400
49
+
50
+ ### Training results
51
+
52
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
53
+ |:-------------:|:-------:|:----:|:---------------:|:--------:|
54
+ | 0.6776 | 0.0102 | 65 | 0.6899 | 0.5652 |
55
+ | 0.672 | 1.0102 | 130 | 0.7048 | 0.5652 |
56
+ | 0.6127 | 2.0102 | 195 | 0.7328 | 0.5652 |
57
+ | 0.6091 | 3.0102 | 260 | 0.6351 | 0.5652 |
58
+ | 0.4716 | 4.0102 | 325 | 0.6692 | 0.5652 |
59
+ | 0.3767 | 5.0102 | 390 | 1.0344 | 0.5652 |
60
+ | 0.444 | 6.0102 | 455 | 0.5516 | 0.6522 |
61
+ | 0.5153 | 7.0102 | 520 | 0.5306 | 0.8261 |
62
+ | 0.5645 | 8.0102 | 585 | 0.8665 | 0.5652 |
63
+ | 0.5957 | 9.0102 | 650 | 1.0774 | 0.5652 |
64
+ | 0.265 | 10.0102 | 715 | 1.1522 | 0.6522 |
65
+ | 0.2538 | 11.0102 | 780 | 1.1066 | 0.6087 |
66
+ | 0.3453 | 12.0102 | 845 | 1.3690 | 0.6087 |
67
+ | 0.3042 | 13.0102 | 910 | 0.3015 | 0.9130 |
68
+ | 0.1095 | 14.0102 | 975 | 1.0894 | 0.7391 |
69
+ | 0.3343 | 15.0102 | 1040 | 1.0325 | 0.7391 |
70
+ | 0.4758 | 16.0102 | 1105 | 0.2653 | 0.9130 |
71
+ | 0.2326 | 17.0102 | 1170 | 0.3844 | 0.9130 |
72
+ | 0.1366 | 18.0102 | 1235 | 0.3475 | 0.9565 |
73
+ | 0.0036 | 19.0102 | 1300 | 0.6067 | 0.9130 |
74
+ | 0.0005 | 20.0102 | 1365 | 1.2899 | 0.7826 |
75
+ | 0.0364 | 21.0102 | 1430 | 2.7527 | 0.5652 |
76
+ | 0.1536 | 22.0102 | 1495 | 1.9413 | 0.6522 |
77
+ | 0.03 | 23.0102 | 1560 | 2.2468 | 0.6522 |
78
+ | 0.0004 | 24.0102 | 1625 | 0.2265 | 0.9565 |
79
+ | 0.1525 | 25.0102 | 1690 | 0.4236 | 0.9130 |
80
+ | 0.0002 | 26.0102 | 1755 | 0.7375 | 0.9130 |
81
+ | 0.0001 | 27.0102 | 1820 | 1.1523 | 0.8261 |
82
+ | 0.0005 | 28.0102 | 1885 | 1.7289 | 0.7826 |
83
+ | 0.0237 | 29.0102 | 1950 | 0.7850 | 0.9130 |
84
+ | 0.2685 | 30.0102 | 2015 | 1.7432 | 0.7391 |
85
+ | 0.0293 | 31.0102 | 2080 | 0.8255 | 0.9130 |
86
+ | 0.0085 | 32.0102 | 2145 | 2.1138 | 0.7391 |
87
+ | 0.1503 | 33.0102 | 2210 | 0.4744 | 0.9130 |
88
+ | 0.0001 | 34.0102 | 2275 | 0.8058 | 0.8696 |
89
+ | 0.0004 | 35.0102 | 2340 | 1.8027 | 0.7391 |
90
+ | 0.1144 | 36.0102 | 2405 | 3.4276 | 0.5652 |
91
+ | 0.0003 | 37.0102 | 2470 | 0.6332 | 0.8261 |
92
+ | 0.1925 | 38.0102 | 2535 | 1.6992 | 0.6957 |
93
+ | 0.0001 | 39.0102 | 2600 | 1.2077 | 0.7826 |
94
+ | 0.0001 | 40.0102 | 2665 | 1.5120 | 0.8261 |
95
+ | 0.0 | 41.0102 | 2730 | 1.2723 | 0.7391 |
96
+ | 0.063 | 42.0102 | 2795 | 3.7744 | 0.5652 |
97
+ | 0.0001 | 43.0102 | 2860 | 3.1736 | 0.6522 |
98
+ | 0.1744 | 44.0102 | 2925 | 1.2165 | 0.8261 |
99
+ | 0.0001 | 45.0102 | 2990 | 3.7631 | 0.6087 |
100
+ | 0.0002 | 46.0102 | 3055 | 0.9466 | 0.8696 |
101
+ | 0.0 | 47.0102 | 3120 | 0.9563 | 0.8261 |
102
+ | 0.0001 | 48.0102 | 3185 | 1.0371 | 0.8261 |
103
+ | 0.1871 | 49.0102 | 3250 | 3.0532 | 0.6522 |
104
+ | 0.0036 | 50.0102 | 3315 | 2.5526 | 0.6522 |
105
+ | 0.0001 | 51.0102 | 3380 | 1.6451 | 0.8261 |
106
+ | 0.2135 | 52.0102 | 3445 | 0.4032 | 0.9565 |
107
+ | 0.0 | 53.0102 | 3510 | 0.8310 | 0.9130 |
108
+ | 0.0001 | 54.0102 | 3575 | 1.1302 | 0.8696 |
109
+ | 0.0001 | 55.0102 | 3640 | 1.7198 | 0.7826 |
110
+ | 0.0 | 56.0102 | 3705 | 1.0882 | 0.8696 |
111
+ | 0.0 | 57.0102 | 3770 | 1.1533 | 0.8696 |
112
+ | 0.0 | 58.0102 | 3835 | 1.4102 | 0.7826 |
113
+ | 0.0 | 59.0102 | 3900 | 1.4189 | 0.7826 |
114
+ | 0.0 | 60.0102 | 3965 | 1.3660 | 0.8261 |
115
+ | 0.0 | 61.0102 | 4030 | 1.2121 | 0.8696 |
116
+ | 0.0 | 62.0102 | 4095 | 1.8170 | 0.7826 |
117
+ | 0.0 | 63.0102 | 4160 | 1.0369 | 0.8696 |
118
+ | 0.0 | 64.0102 | 4225 | 1.3311 | 0.8696 |
119
+ | 0.233 | 65.0102 | 4290 | 0.8931 | 0.9130 |
120
+ | 0.0 | 66.0102 | 4355 | 0.4937 | 0.9565 |
121
+ | 0.0 | 67.0102 | 4420 | 1.5024 | 0.8261 |
122
+ | 0.0 | 68.0102 | 4485 | 1.5160 | 0.8261 |
123
+ | 0.0 | 69.0102 | 4550 | 1.4395 | 0.8261 |
124
+ | 0.0 | 70.0102 | 4615 | 1.2094 | 0.8261 |
125
+ | 0.0 | 71.0102 | 4680 | 1.0851 | 0.8261 |
126
+ | 0.0 | 72.0102 | 4745 | 1.1003 | 0.8261 |
127
+ | 0.0 | 73.0102 | 4810 | 1.0922 | 0.8261 |
128
+ | 0.0 | 74.0102 | 4875 | 1.2564 | 0.8261 |
129
+ | 0.0 | 75.0102 | 4940 | 1.2901 | 0.8261 |
130
+ | 0.0 | 76.0102 | 5005 | 1.2565 | 0.8261 |
131
+ | 0.0 | 77.0102 | 5070 | 1.2773 | 0.8261 |
132
+ | 0.0 | 78.0102 | 5135 | 1.2317 | 0.8261 |
133
+ | 0.0 | 79.0102 | 5200 | 1.2031 | 0.8261 |
134
+ | 0.0 | 80.0102 | 5265 | 1.1797 | 0.8261 |
135
+ | 0.0 | 81.0102 | 5330 | 1.1727 | 0.8261 |
136
+ | 0.0 | 82.0102 | 5395 | 1.1057 | 0.8261 |
137
+ | 0.0 | 83.0102 | 5460 | 1.0934 | 0.8261 |
138
+ | 0.0 | 84.0102 | 5525 | 1.0780 | 0.8261 |
139
+ | 0.0 | 85.0102 | 5590 | 1.0593 | 0.8261 |
140
+ | 0.0 | 86.0102 | 5655 | 1.0216 | 0.8261 |
141
+ | 0.0 | 87.0102 | 5720 | 1.0498 | 0.8261 |
142
+ | 0.0 | 88.0102 | 5785 | 1.0506 | 0.8261 |
143
+ | 0.0 | 89.0102 | 5850 | 1.0408 | 0.8261 |
144
+ | 0.0 | 90.0102 | 5915 | 1.9110 | 0.7826 |
145
+ | 0.0 | 91.0102 | 5980 | 0.7362 | 0.8696 |
146
+ | 0.0007 | 92.0102 | 6045 | 1.5211 | 0.8261 |
147
+ | 0.0 | 93.0102 | 6110 | 1.2596 | 0.8696 |
148
+ | 0.0 | 94.0102 | 6175 | 1.2852 | 0.8696 |
149
+ | 0.0 | 95.0102 | 6240 | 1.3083 | 0.8696 |
150
+ | 0.0 | 96.0102 | 6305 | 1.3085 | 0.8696 |
151
+ | 0.0 | 97.0102 | 6370 | 1.3091 | 0.8696 |
152
+ | 0.0 | 98.0047 | 6400 | 1.3091 | 0.8696 |
153
+
154
+
155
+ ### Framework versions
156
+
157
+ - Transformers 4.46.2
158
+ - Pytorch 2.0.1+cu117
159
+ - Datasets 3.0.1
160
+ - Tokenizers 0.20.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b88507b0b6fa6c72dc76b12922a34e078e89055d21e8241d5c0ee13580a00af8
3
  size 1215496208
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d0cd20de46e090c951dfc3a327f527f2ec9174f655fa0bf5e7547c4450c2dce0
3
  size 1215496208