virkha commited on
Commit
5dab50b
·
verified ·
1 Parent(s): 7d34fb2

Model save

Browse files
Files changed (1) hide show
  1. README.md +7 -7
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-ssv2](https://huggingface.co/MCG-NJU/videomae-base-finetuned-ssv2) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.6660
21
- - Accuracy: 0.8557
22
 
23
  ## Model description
24
 
@@ -44,16 +44,16 @@ The following hyperparameters were used during training:
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: 374452
48
 
49
  ### Training results
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
  |:-------------:|:-----:|:------:|:---------------:|:--------:|
53
- | 1.5277 | 0.25 | 93613 | 1.5242 | 0.6574 |
54
- | 0.8126 | 1.25 | 187226 | 1.0718 | 0.7656 |
55
- | 0.2209 | 2.25 | 280839 | 0.8571 | 0.8109 |
56
- | 1.122 | 3.25 | 374452 | 0.6660 | 0.8557 |
57
 
58
 
59
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-ssv2](https://huggingface.co/MCG-NJU/videomae-base-finetuned-ssv2) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.7609
21
+ - Accuracy: 0.8416
22
 
23
  ## Model description
24
 
 
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: 374512
48
 
49
  ### Training results
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
  |:-------------:|:-----:|:------:|:---------------:|:--------:|
53
+ | 2.9334 | 0.25 | 93628 | 1.6568 | 0.6375 |
54
+ | 1.1377 | 1.25 | 187256 | 1.0517 | 0.7516 |
55
+ | 1.2928 | 2.25 | 280884 | 0.8637 | 0.8105 |
56
+ | 0.0011 | 3.25 | 374512 | 0.7609 | 0.8416 |
57
 
58
 
59
  ### Framework versions