Hugging Face's logo

skywalker290
/
videomae-vivit-d1

Video Classification
Transformers
Safetensors
vivit
Generated from Trainer
Inference Endpoints
Model card Files Community
skywalker290 commited on
Commit
f6ec553
·
verified ·
1 Parent(s): 0287bfe

End of training

Browse files
Files changed (2) hide show
  1. README.md +17 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 1.1307
22
- - Accuracy: 0.7770
23
 
24
  ## Model description
25
 
@@ -39,23 +39,29 @@ More information needed
39
 
40
  The following hyperparameters were used during training:
41
  - learning_rate: 5e-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: 960
49
  - mixed_precision_training: Native AMP
50
 
51
  ### Training results
52
 
53
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
- |:-------------:|:------:|:----:|:---------------:|:--------:|
55
- | 0.4526 | 0.2510 | 241 | 1.0469 | 0.7127 |
56
- | 0.3419 | 1.2510 | 482 | 1.0031 | 0.7689 |
57
- | 0.2918 | 2.2510 | 723 | 1.2717 | 0.7385 |
58
- | 0.133 | 3.2469 | 960 | 1.1307 | 0.7770 |
 
 
 
 
 
 
59
 
60
 
61
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 1.6339
22
+ - Accuracy: 0.7846
23
 
24
  ## Model description
25
 
 
39
 
40
  The following hyperparameters were used during training:
41
  - learning_rate: 5e-05
42
+ - train_batch_size: 1
43
+ - eval_batch_size: 1
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: 12010
49
  - mixed_precision_training: Native AMP
50
 
51
  ### Training results
52
 
53
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
55
+ | 0.48 | 0.1 | 1201 | 2.7012 | 0.6270 |
56
+ | 0.4676 | 1.1 | 2402 | 1.9638 | 0.6850 |
57
+ | 0.2286 | 2.1 | 3603 | 1.2190 | 0.7369 |
58
+ | 0.4115 | 3.1 | 4804 | 1.7885 | 0.6870 |
59
+ | 0.6744 | 4.1 | 6005 | 2.2529 | 0.6409 |
60
+ | 0.0148 | 5.1 | 7206 | 1.8318 | 0.7345 |
61
+ | 0.5487 | 6.1 | 8407 | 1.4902 | 0.7626 |
62
+ | 0.0005 | 7.1 | 9608 | 1.6509 | 0.7672 |
63
+ | 0.0024 | 8.1 | 10809 | 1.5443 | 0.8207 |
64
+ | 0.0003 | 9.1 | 12010 | 1.6339 | 0.7846 |
65
 
66
 
67
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:15a9f33ea98b845324b9f7f973a35dc35a6e70d4ce779be6223c08a454a191ee
3
  size 485072256
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e13013a2ac84f1166e04bedf4790ae9531ce6d97f18da2822009ca4d57eaa770
3
  size 485072256