videomae-base-finetuned-kinetics-finetuned-ucf101-subset
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0292
- Accuracy: 1.0
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: 3
- eval_batch_size: 3
- 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: 45
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5816 | 0.22 | 10 | 0.2775 | 1.0 |
| 0.1853 | 1.22 | 20 | 0.0941 | 1.0 |
| 0.0978 | 2.22 | 30 | 0.0424 | 1.0 |
| 0.032 | 3.22 | 40 | 0.0315 | 1.0 |
| 0.032 | 4.11 | 45 | 0.0292 | 1.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Naveengo/videomae-base-finetuned-kinetics-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base-finetuned-kinetics