videomae-small-finetuned-kinetics-finetuned-ucf101-subset
This model is a fine-tuned version of MCG-NJU/videomae-small-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4149
- Accuracy: 0.9355
Model description
More information needed
Intended uses & limitations
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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: 2
- eval_batch_size: 2
- 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: 600
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0253 | 0.25 | 150 | 0.9132 | 0.9 |
| 0.4108 | 1.25 | 300 | 0.3571 | 0.9857 |
| 0.1051 | 2.25 | 450 | 0.3968 | 0.8714 |
| 0.1796 | 3.25 | 600 | 0.1280 | 0.9857 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for ninhnguyendx779/videomae-small-finetuned-kinetics-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-small-finetuned-kinetics