metadata
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset
results: []
videomae-base-finetuned-ucf101-subset
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3230
- Accuracy: 0.8968
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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1200
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1382 | 0.06 | 75 | 2.1056 | 0.2571 |
| 0.8185 | 1.06 | 150 | 0.6270 | 0.8 |
| 0.5221 | 2.06 | 225 | 0.4341 | 0.8 |
| 0.1069 | 3.06 | 300 | 0.4390 | 0.8714 |
| 0.0195 | 4.06 | 375 | 0.2938 | 0.8571 |
| 0.0097 | 5.06 | 450 | 0.2114 | 0.9 |
| 0.0076 | 6.06 | 525 | 0.1509 | 0.9429 |
| 0.1686 | 7.06 | 600 | 0.2527 | 0.9571 |
| 0.0679 | 8.06 | 675 | 0.0615 | 0.9714 |
| 0.0024 | 9.06 | 750 | 0.1589 | 0.9429 |
| 0.1946 | 10.06 | 825 | 0.4014 | 0.9 |
| 0.154 | 11.06 | 900 | 0.1862 | 0.9429 |
| 0.0021 | 12.06 | 975 | 0.0683 | 0.9857 |
| 0.0019 | 13.06 | 1050 | 0.0541 | 0.9857 |
| 0.002 | 14.06 | 1125 | 0.0473 | 0.9857 |
| 0.0018 | 15.06 | 1200 | 0.0475 | 0.9857 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3