Hugging Face's logo

beingbatman
/
CTMAE2_CS_V7_6

Video Classification
Transformers
Safetensors
videomae
Generated from Trainer
Inference Endpoints
Model card Files Community
beingbatman commited on
Commit
06af2fd
·
verified ·
1 Parent(s): 00fc00d

Model save

Browse files
Files changed (2) hide show
  1. README.md +111 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,111 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: CTMAE2_CS_V7_6
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
+ # CTMAE2_CS_V7_6
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: 0.8260
22
+ - Accuracy: 0.8261
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: 5
43
+ - eval_batch_size: 5
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: 7750
49
+
50
+ ### Training results
51
+
52
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
53
+ |:-------------:|:-------:|:----:|:---------------:|:--------:|
54
+ | 0.6413 | 0.0201 | 156 | 0.7948 | 0.4565 |
55
+ | 0.5022 | 1.0201 | 312 | 0.8549 | 0.4565 |
56
+ | 0.6512 | 2.0201 | 468 | 0.6671 | 0.5870 |
57
+ | 0.5026 | 3.0201 | 624 | 0.6542 | 0.6522 |
58
+ | 0.5752 | 4.0201 | 780 | 0.6096 | 0.7174 |
59
+ | 0.5908 | 5.0201 | 936 | 0.7501 | 0.5217 |
60
+ | 0.4882 | 6.0201 | 1092 | 0.7652 | 0.6304 |
61
+ | 0.4128 | 7.0201 | 1248 | 0.7746 | 0.6522 |
62
+ | 0.4414 | 8.0201 | 1404 | 0.5973 | 0.7174 |
63
+ | 0.4291 | 9.0201 | 1560 | 0.7594 | 0.7391 |
64
+ | 0.2729 | 10.0201 | 1716 | 0.5485 | 0.8043 |
65
+ | 0.5803 | 11.0201 | 1872 | 0.7238 | 0.6957 |
66
+ | 0.4601 | 12.0201 | 2028 | 0.7228 | 0.7174 |
67
+ | 0.1306 | 13.0201 | 2184 | 0.9496 | 0.7174 |
68
+ | 0.4727 | 14.0201 | 2340 | 0.8971 | 0.7174 |
69
+ | 0.4027 | 15.0201 | 2496 | 0.6291 | 0.7391 |
70
+ | 0.3149 | 16.0201 | 2652 | 0.8639 | 0.6957 |
71
+ | 0.1737 | 17.0201 | 2808 | 1.0473 | 0.6957 |
72
+ | 0.2368 | 18.0201 | 2964 | 0.8658 | 0.7174 |
73
+ | 0.1155 | 19.0201 | 3120 | 0.7655 | 0.8043 |
74
+ | 0.156 | 20.0201 | 3276 | 0.7960 | 0.7609 |
75
+ | 0.2685 | 21.0201 | 3432 | 0.8260 | 0.8261 |
76
+ | 0.2572 | 22.0201 | 3588 | 0.8299 | 0.7391 |
77
+ | 0.3788 | 23.0201 | 3744 | 0.8373 | 0.8043 |
78
+ | 0.3816 | 24.0201 | 3900 | 0.9689 | 0.7609 |
79
+ | 0.4579 | 25.0201 | 4056 | 1.2806 | 0.6739 |
80
+ | 0.2543 | 26.0201 | 4212 | 1.2309 | 0.7609 |
81
+ | 0.1227 | 27.0201 | 4368 | 1.2931 | 0.6522 |
82
+ | 0.3303 | 28.0201 | 4524 | 1.0450 | 0.8043 |
83
+ | 0.0808 | 29.0201 | 4680 | 1.3096 | 0.7391 |
84
+ | 0.0987 | 30.0201 | 4836 | 1.1349 | 0.7826 |
85
+ | 0.0432 | 31.0201 | 4992 | 1.0443 | 0.7391 |
86
+ | 0.0373 | 32.0201 | 5148 | 1.8532 | 0.6739 |
87
+ | 0.1619 | 33.0201 | 5304 | 1.0490 | 0.7391 |
88
+ | 0.096 | 34.0201 | 5460 | 1.2420 | 0.7826 |
89
+ | 0.0112 | 35.0201 | 5616 | 1.4820 | 0.7609 |
90
+ | 0.0282 | 36.0201 | 5772 | 1.3097 | 0.7826 |
91
+ | 0.1689 | 37.0201 | 5928 | 1.6520 | 0.6739 |
92
+ | 0.0005 | 38.0201 | 6084 | 1.9084 | 0.6739 |
93
+ | 0.1626 | 39.0201 | 6240 | 1.3166 | 0.8043 |
94
+ | 0.08 | 40.0201 | 6396 | 1.4161 | 0.8043 |
95
+ | 0.062 | 41.0201 | 6552 | 1.4863 | 0.7391 |
96
+ | 0.1915 | 42.0201 | 6708 | 1.6604 | 0.6522 |
97
+ | 0.365 | 43.0201 | 6864 | 1.4169 | 0.8261 |
98
+ | 0.0001 | 44.0201 | 7020 | 1.4883 | 0.8043 |
99
+ | 0.0014 | 45.0201 | 7176 | 1.5122 | 0.8043 |
100
+ | 0.0024 | 46.0201 | 7332 | 1.4808 | 0.8043 |
101
+ | 0.0001 | 47.0201 | 7488 | 1.4890 | 0.7826 |
102
+ | 0.0001 | 48.0201 | 7644 | 1.5129 | 0.7391 |
103
+ | 0.0001 | 49.0137 | 7750 | 1.5114 | 0.7609 |
104
+
105
+
106
+ ### Framework versions
107
+
108
+ - Transformers 4.46.2
109
+ - Pytorch 2.0.1+cu117
110
+ - Datasets 3.0.1
111
+ - Tokenizers 0.20.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:da12481486f3bfb576e0183606e5cb9c5deedddd39f13612813ff5ed2586ecb7
3
  size 1215496208
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:787772cd10ba858fbd8fb5bca4eab2240ce8c70998f52f36b2fa7fa9975f5814
3
  size 1215496208