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: 0.5425
- Accuracy: 0.8645
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: 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: 148
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1483 | 0.2568 | 38 | 1.8423 | 0.3857 |
| 0.8601 | 1.2568 | 76 | 0.9724 | 0.7 |
| 0.5181 | 2.2568 | 114 | 0.6129 | 0.7571 |
| 0.3207 | 3.2297 | 148 | 0.5354 | 0.8286 |
Framework versions
- Transformers 4.44.2
- Pytorch 1.12.0+cu113
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for billskar23/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base