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: 0.3007
- Accuracy: 0.8571
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: 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: 400
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3419 | 0.25 | 100 | 1.2255 | 0.7571 |
| 0.8559 | 1.25 | 200 | 0.7093 | 0.7857 |
| 0.1361 | 2.25 | 300 | 0.3352 | 0.8571 |
| 0.3731 | 3.25 | 400 | 0.3007 | 0.8571 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for burakabdi/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base