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: 3.5303
- Accuracy: 0.4211
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 |
|---|---|---|---|---|
| 0.2472 | 33.0017 | 200 | 2.3446 | 0.4737 |
| 0.2764 | 66.0033 | 400 | 3.6608 | 0.3684 |
| 0.0009 | 99.005 | 600 | 3.2849 | 0.4737 |
| 0.0006 | 133.0017 | 800 | 3.0974 | 0.5263 |
| 0.0005 | 166.0033 | 1000 | 3.5790 | 0.4211 |
| 0.0212 | 199.005 | 1200 | 3.5303 | 0.4211 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.4.1+cu118
- Datasets 3.0.0
- Tokenizers 0.20.0
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Model tree for huahua1/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base