Hugging Face's logo

beingbatman
/
CTMAE2_CS_V7_2

Video Classification
Transformers
Safetensors
videomae
Generated from Trainer
Inference Endpoints
Model card Files Community
beingbatman commited on
Commit
24f4c6e
·
verified ·
1 Parent(s): 9405775

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_2
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_2
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: 0.7423
22
+ - Accuracy: 0.7778
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: 3
43
+ - eval_batch_size: 3
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: 12950
49
+
50
+ ### Training results
51
+
52
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
53
+ |:-------------:|:-------:|:-----:|:---------------:|:--------:|
54
+ | 0.5325 | 0.0201 | 260 | 0.8741 | 0.4667 |
55
+ | 0.5015 | 1.0201 | 520 | 0.9818 | 0.4444 |
56
+ | 0.5515 | 2.0201 | 780 | 0.7134 | 0.5111 |
57
+ | 0.3752 | 3.0201 | 1040 | 0.7412 | 0.6222 |
58
+ | 0.3128 | 4.0201 | 1300 | 0.8534 | 0.6 |
59
+ | 0.7261 | 5.0201 | 1560 | 0.7002 | 0.7111 |
60
+ | 0.4644 | 6.0201 | 1820 | 0.6550 | 0.7111 |
61
+ | 0.7702 | 7.0201 | 2080 | 0.6853 | 0.7333 |
62
+ | 0.4589 | 8.0201 | 2340 | 0.7447 | 0.7556 |
63
+ | 0.5026 | 9.0201 | 2600 | 0.7423 | 0.7778 |
64
+ | 0.5612 | 10.0201 | 2860 | 0.8798 | 0.6889 |
65
+ | 0.536 | 11.0201 | 3120 | 1.5358 | 0.4889 |
66
+ | 0.6695 | 12.0201 | 3380 | 1.3352 | 0.6667 |
67
+ | 0.2699 | 13.0201 | 3640 | 1.1053 | 0.7333 |
68
+ | 0.5277 | 14.0201 | 3900 | 0.9908 | 0.7111 |
69
+ | 0.7975 | 15.0201 | 4160 | 1.0846 | 0.6667 |
70
+ | 0.5766 | 16.0201 | 4420 | 0.9612 | 0.7333 |
71
+ | 0.3323 | 17.0201 | 4680 | 1.1611 | 0.6889 |
72
+ | 0.7162 | 18.0201 | 4940 | 1.3055 | 0.7111 |
73
+ | 0.1248 | 19.0201 | 5200 | 1.5837 | 0.6667 |
74
+ | 0.1746 | 20.0201 | 5460 | 1.2694 | 0.7333 |
75
+ | 0.1973 | 21.0201 | 5720 | 1.1572 | 0.7778 |
76
+ | 0.7038 | 22.0201 | 5980 | 1.4035 | 0.7111 |
77
+ | 0.3939 | 23.0201 | 6240 | 1.6775 | 0.6667 |
78
+ | 0.4129 | 24.0201 | 6500 | 1.6039 | 0.6889 |
79
+ | 0.2852 | 25.0201 | 6760 | 1.6769 | 0.7111 |
80
+ | 0.3278 | 26.0201 | 7020 | 1.9129 | 0.6889 |
81
+ | 0.7677 | 27.0201 | 7280 | 1.8397 | 0.6667 |
82
+ | 0.0122 | 28.0201 | 7540 | 2.0296 | 0.6889 |
83
+ | 0.3014 | 29.0201 | 7800 | 2.4234 | 0.6 |
84
+ | 0.3567 | 30.0201 | 8060 | 1.7570 | 0.7111 |
85
+ | 0.0334 | 31.0201 | 8320 | 2.0343 | 0.7111 |
86
+ | 0.0043 | 32.0201 | 8580 | 1.8095 | 0.7333 |
87
+ | 0.0119 | 33.0201 | 8840 | 1.6490 | 0.7556 |
88
+ | 0.7503 | 34.0201 | 9100 | 1.9144 | 0.6889 |
89
+ | 0.2105 | 35.0201 | 9360 | 1.8403 | 0.7333 |
90
+ | 0.003 | 36.0201 | 9620 | 1.8770 | 0.7333 |
91
+ | 0.1781 | 37.0201 | 9880 | 1.8631 | 0.7333 |
92
+ | 0.4092 | 38.0201 | 10140 | 1.9994 | 0.7111 |
93
+ | 0.232 | 39.0201 | 10400 | 1.9919 | 0.6889 |
94
+ | 0.2703 | 40.0201 | 10660 | 2.1008 | 0.7111 |
95
+ | 0.5169 | 41.0201 | 10920 | 2.2019 | 0.6889 |
96
+ | 0.8418 | 42.0201 | 11180 | 2.2000 | 0.6889 |
97
+ | 0.0007 | 43.0201 | 11440 | 2.0411 | 0.7111 |
98
+ | 0.0001 | 44.0201 | 11700 | 2.1081 | 0.6889 |
99
+ | 0.0004 | 45.0201 | 11960 | 2.1821 | 0.6889 |
100
+ | 0.0013 | 46.0201 | 12220 | 2.1313 | 0.7111 |
101
+ | 0.0003 | 47.0201 | 12480 | 2.2113 | 0.7111 |
102
+ | 0.83 | 48.0201 | 12740 | 2.2048 | 0.6889 |
103
+ | 0.0001 | 49.0162 | 12950 | 2.1997 | 0.6889 |
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 sha256:92c2161682ae7d35185d54a7352dff316d56d4c1ec7045d3e48682262cf22aa1
3
  size 1215496208
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c48ac4e415fde71c20787ea35b37043d4f62c92b936dabb5ec65848ba4d4e5ea
3
  size 1215496208