Hugging Face's logo

feliciaaaluo
/
videomae-base-finetuned-ucf101

Video Classification
Transformers
PyTorch
TensorBoard
Safetensors
videomae
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
feliciaaaluo commited on
Commit
78c0b1d
•
1 Parent(s): 6cb8e1b

Model save

Browse files
Files changed (2) hide show
  1. README.md +20 -13
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,5 +1,6 @@
1
  ---
2
  license: cc-by-nc-4.0
 
3
  tags:
4
  - generated_from_trainer
5
  metrics:
@@ -16,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 0.1208
20
- - Accuracy: 0.9682
21
 
22
  ## Model description
23
 
@@ -37,27 +38,33 @@ More information needed
37
 
38
  The following hyperparameters were used during training:
39
  - learning_rate: 5e-05
40
- - train_batch_size: 4
41
- - eval_batch_size: 4
42
  - seed: 42
43
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
  - lr_scheduler_type: linear
45
  - lr_scheduler_warmup_ratio: 0.1
46
- - training_steps: 4992
47
 
48
  ### Training results
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
- | 1.0833 | 0.25 | 1250 | 1.1073 | 0.6721 |
53
- | 0.5869 | 1.25 | 2500 | 0.3157 | 0.9038 |
54
- | 0.0053 | 2.25 | 3750 | 0.1702 | 0.9526 |
55
- | 0.0039 | 3.25 | 4992 | 0.1214 | 0.9682 |
 
 
 
 
 
 
56
 
57
 
58
  ### Framework versions
59
 
60
- - Transformers 4.30.0
61
- - Pytorch 2.2.1+cu121
62
- - Datasets 2.18.0
63
- - Tokenizers 0.13.3
 
1
  ---
2
  license: cc-by-nc-4.0
3
+ base_model: MCG-NJU/videomae-base
4
  tags:
5
  - generated_from_trainer
6
  metrics:
 
17
 
18
  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.0757
21
+ - Accuracy: 0.9837
22
 
23
  ## Model description
24
 
 
38
 
39
  The following hyperparameters were used during training:
40
  - learning_rate: 5e-05
41
+ - train_batch_size: 6
42
+ - eval_batch_size: 6
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: 8320
48
 
49
  ### Training results
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
53
+ | 1.1009 | 0.1 | 833 | 1.2521 | 0.6558 |
54
+ | 0.2821 | 1.1 | 1666 | 0.4310 | 0.8623 |
55
+ | 0.4519 | 2.1 | 2499 | 0.2645 | 0.9223 |
56
+ | 0.137 | 3.1 | 3332 | 0.2231 | 0.9371 |
57
+ | 0.1014 | 4.1 | 4165 | 0.1516 | 0.9593 |
58
+ | 0.0084 | 5.1 | 4998 | 0.1478 | 0.9682 |
59
+ | 0.0041 | 6.1 | 5831 | 0.1284 | 0.9652 |
60
+ | 0.006 | 7.1 | 6664 | 0.1214 | 0.9726 |
61
+ | 0.001 | 8.1 | 7497 | 0.0745 | 0.9822 |
62
+ | 0.0005 | 9.1 | 8320 | 0.0757 | 0.9837 |
63
 
64
 
65
  ### Framework versions
66
 
67
+ - Transformers 4.37.2
68
+ - Pytorch 2.2.1+cu118
69
+ - Datasets 2.17.1
70
+ - Tokenizers 0.15.2
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:918519f1fe46f21869aba25543c13c2c2ca8b0ed711a97ec78f7bfc060023a02
3
  size 345088108
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:68251f9b6549fb0c1c357a4cf05ad258a1946aa40ce7700a6e17f3aa10aea2cd
3
  size 345088108