Hugging Face's logo

beingbatman
/
CTMAE2_CS_V7_4

Video Classification
Transformers
Safetensors
videomae
Generated from Trainer
Inference Endpoints
Model card Files Community
beingbatman commited on
Commit
c35339b
·
verified ·
1 Parent(s): 5ca1047

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_4
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_4
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: 0.3363
22
+ - Accuracy: 0.8667
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
+ | 0.6652 | 0.0201 | 156 | 0.7404 | 0.4667 |
55
+ | 0.5679 | 1.0201 | 312 | 0.6957 | 0.4667 |
56
+ | 0.4455 | 2.0201 | 468 | 0.4729 | 0.7778 |
57
+ | 0.479 | 3.0201 | 624 | 0.8238 | 0.6 |
58
+ | 0.4476 | 4.0201 | 780 | 0.5751 | 0.7111 |
59
+ | 0.5195 | 5.0201 | 936 | 0.8028 | 0.5333 |
60
+ | 0.4507 | 6.0201 | 1092 | 0.5427 | 0.6889 |
61
+ | 0.8518 | 7.0201 | 1248 | 0.5461 | 0.6889 |
62
+ | 0.5845 | 8.0201 | 1404 | 0.3363 | 0.8667 |
63
+ | 0.3814 | 9.0201 | 1560 | 0.4834 | 0.7111 |
64
+ | 0.3419 | 10.0201 | 1716 | 0.9276 | 0.6444 |
65
+ | 0.2682 | 11.0201 | 1872 | 1.0908 | 0.6667 |
66
+ | 0.272 | 12.0201 | 2028 | 0.7781 | 0.7333 |
67
+ | 0.313 | 13.0201 | 2184 | 1.4005 | 0.6444 |
68
+ | 0.2476 | 14.0201 | 2340 | 0.9079 | 0.7111 |
69
+ | 0.6739 | 15.0201 | 2496 | 0.7558 | 0.7333 |
70
+ | 0.3332 | 16.0201 | 2652 | 0.3408 | 0.8667 |
71
+ | 0.4414 | 17.0201 | 2808 | 0.4559 | 0.8667 |
72
+ | 0.5799 | 18.0201 | 2964 | 0.3860 | 0.8444 |
73
+ | 0.3393 | 19.0201 | 3120 | 1.2055 | 0.6889 |
74
+ | 0.1268 | 20.0201 | 3276 | 0.5242 | 0.8444 |
75
+ | 0.1138 | 21.0201 | 3432 | 0.4627 | 0.8444 |
76
+ | 0.6119 | 22.0201 | 3588 | 0.8547 | 0.7556 |
77
+ | 0.1607 | 23.0201 | 3744 | 0.7664 | 0.8222 |
78
+ | 0.1289 | 24.0201 | 3900 | 0.7742 | 0.8 |
79
+ | 0.3687 | 25.0201 | 4056 | 0.7859 | 0.8 |
80
+ | 0.1596 | 26.0201 | 4212 | 0.6785 | 0.8222 |
81
+ | 0.1539 | 27.0201 | 4368 | 0.7018 | 0.8 |
82
+ | 0.0724 | 28.0201 | 4524 | 0.5837 | 0.8667 |
83
+ | 0.1998 | 29.0201 | 4680 | 0.9271 | 0.8222 |
84
+ | 0.2286 | 30.0201 | 4836 | 1.7057 | 0.7111 |
85
+ | 0.192 | 31.0201 | 4992 | 0.7722 | 0.8222 |
86
+ | 0.1149 | 32.0201 | 5148 | 0.9803 | 0.8 |
87
+ | 0.1723 | 33.0201 | 5304 | 0.9823 | 0.8 |
88
+ | 0.0624 | 34.0201 | 5460 | 1.1380 | 0.8 |
89
+ | 0.3264 | 35.0201 | 5616 | 0.9571 | 0.8222 |
90
+ | 0.0631 | 36.0201 | 5772 | 1.4243 | 0.7778 |
91
+ | 0.1043 | 37.0201 | 5928 | 0.8813 | 0.8444 |
92
+ | 0.1337 | 38.0201 | 6084 | 1.6177 | 0.7333 |
93
+ | 0.271 | 39.0201 | 6240 | 1.1881 | 0.7778 |
94
+ | 0.3917 | 40.0201 | 6396 | 1.2265 | 0.7778 |
95
+ | 0.3894 | 41.0201 | 6552 | 1.1420 | 0.8 |
96
+ | 0.0459 | 42.0201 | 6708 | 1.0437 | 0.8222 |
97
+ | 0.1631 | 43.0201 | 6864 | 1.2080 | 0.8 |
98
+ | 0.0029 | 44.0201 | 7020 | 1.1999 | 0.8 |
99
+ | 0.1862 | 45.0201 | 7176 | 1.2467 | 0.8 |
100
+ | 0.0266 | 46.0201 | 7332 | 1.3164 | 0.7778 |
101
+ | 0.0013 | 47.0201 | 7488 | 1.2166 | 0.8 |
102
+ | 0.0007 | 48.0201 | 7644 | 1.2552 | 0.8 |
103
+ | 0.0089 | 49.0137 | 7750 | 1.2637 | 0.8 |
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:e7554a56db11b970d61dbf6781ebef693cb8336e7dccc4fc378e1c3991590e96
3
  size 1215496208
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5bcee2a07c203c796ef1373521b209c87add859bc4a3e20d0027be08becb361c
3
  size 1215496208