videomae-base-cctv-brawl_extended
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: 1.6457
- Accuracy: 0.5962
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: 1e-05
- train_batch_size: 12
- eval_batch_size: 12
- 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: 5022
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.232 | 0.17 | 838 | 0.5134 | 0.7813 |
| 0.1099 | 1.17 | 1676 | 0.7192 | 0.7824 |
| 0.2178 | 2.17 | 2514 | 0.4419 | 0.8299 |
| 0.0697 | 3.17 | 3352 | 0.6157 | 0.8448 |
| 0.2116 | 4.17 | 4190 | 0.4998 | 0.8644 |
| 0.1655 | 5.17 | 5022 | 0.5615 | 0.8542 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
MCG-NJU/videomae-base