onarganogun commited on
Commit
aa8b8f1
1 Parent(s): 45b211d

Model save

Browse files
Files changed (2) hide show
  1. README.md +75 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: cc-by-nc-4.0
3
+ base_model: MCG-NJU/videomae-large
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: videomae-large-cctv-brawl_extended_v2
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # videomae-large-cctv-brawl_extended_v2
17
+
18
+ This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.8329
21
+ - Accuracy: 0.8985
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 5e-07
41
+ - train_batch_size: 4
42
+ - eval_batch_size: 4
43
+ - seed: 42
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - lr_scheduler_warmup_ratio: 0.1
47
+ - training_steps: 37695
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
53
+ | 0.4212 | 0.07 | 2514 | 0.4737 | 0.7236 |
54
+ | 0.2813 | 1.07 | 5028 | 0.3922 | 0.8350 |
55
+ | 0.1918 | 2.07 | 7542 | 0.5665 | 0.8734 |
56
+ | 0.2002 | 3.07 | 10056 | 0.6058 | 0.8808 |
57
+ | 0.1921 | 4.07 | 12570 | 0.6136 | 0.8867 |
58
+ | 0.1713 | 5.07 | 15084 | 0.6446 | 0.8914 |
59
+ | 0.006 | 6.07 | 17598 | 0.6783 | 0.8918 |
60
+ | 0.004 | 7.07 | 20112 | 0.7586 | 0.8863 |
61
+ | 0.201 | 8.07 | 22626 | 0.7732 | 0.8906 |
62
+ | 0.0237 | 9.07 | 25140 | 0.7025 | 0.8993 |
63
+ | 0.0003 | 10.07 | 27654 | 0.7510 | 0.8957 |
64
+ | 0.1943 | 11.07 | 30168 | 0.7849 | 0.8989 |
65
+ | 0.0001 | 12.07 | 32682 | 0.8075 | 0.8981 |
66
+ | 0.0 | 13.07 | 35196 | 0.8347 | 0.8961 |
67
+ | 0.0001 | 14.07 | 37695 | 0.8329 | 0.8985 |
68
+
69
+
70
+ ### Framework versions
71
+
72
+ - Transformers 4.35.0
73
+ - Pytorch 2.1.0+cu118
74
+ - Datasets 2.14.6
75
+ - Tokenizers 0.14.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ee3b92c11003be546d0778ba756387b43c804a5be276543765546d33a21b8e4c
3
  size 1215496248
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20c6feac1e0b1ced5d07732899ea9bfc3aba43dc37288efb7ee0f140b118de2a
3
  size 1215496248