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: 1.4876
- Accuracy: 0.3623
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: 8
- eval_batch_size: 8
- 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: 28
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.29 | 8 | 1.5153 | 0.3043 |
| 1.6246 | 1.29 | 16 | 1.4876 | 0.3623 |
| 1.3937 | 2.29 | 24 | 1.4613 | 0.3333 |
| 1.3937 | 3.14 | 28 | 1.4523 | 0.3333 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0
- Datasets 2.12.0
- Tokenizers 0.14.1
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Model tree for sahild23d23e23re23r/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base