metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-large
tags:
- video-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ucf101_42
results: []
ucf101_42
This model is a fine-tuned version of MCG-NJU/videomae-large on the ucf101 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3185
- Accuracy: 0.9345
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 298 | 0.5806 | 0.8423 |
| No log | 2.0 | 596 | 0.5192 | 0.8653 |
| No log | 3.0 | 894 | 0.4903 | 0.8814 |
| 0.5923 | 4.0 | 1192 | 0.4623 | 0.8901 |
| 0.5923 | 5.0 | 1490 | 0.3949 | 0.9005 |
| 0.5923 | 6.0 | 1788 | 0.4748 | 0.8844 |
| 0.0581 | 7.0 | 2086 | 0.4877 | 0.8820 |
| 0.0581 | 8.0 | 2385 | 0.3976 | 0.9131 |
| 0.0581 | 9.0 | 2683 | 0.3824 | 0.9116 |
| 0.0581 | 10.0 | 2981 | 0.3553 | 0.9171 |
| 0.0221 | 11.0 | 3279 | 0.3557 | 0.9229 |
| 0.0221 | 12.0 | 3577 | 0.3619 | 0.9258 |
| 0.0221 | 13.0 | 3875 | 0.3941 | 0.9214 |
| 0.0112 | 14.0 | 4173 | 0.3989 | 0.9145 |
| 0.0112 | 15.0 | 4471 | 0.3635 | 0.9236 |
| 0.0112 | 16.0 | 4770 | 0.3418 | 0.9285 |
| 0.005 | 17.0 | 5068 | 0.3374 | 0.9261 |
| 0.005 | 18.0 | 5366 | 0.3340 | 0.9333 |
| 0.005 | 19.0 | 5664 | 0.3294 | 0.9338 |
| 0.005 | 19.99 | 5960 | 0.3185 | 0.9345 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2