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: 0.5659
- Accuracy: 0.8657
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: 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: 156
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2544 | 0.25 | 39 | 0.8246 | 0.68 |
| 1.6151 | 1.25 | 78 | 1.5901 | 0.64 |
| 0.8379 | 2.25 | 117 | 0.5681 | 0.92 |
| 0.274 | 3.25 | 156 | 0.5325 | 0.92 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for Amit7Singh/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base