metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-large-cctv-brawl_extended_v2
results: []
videomae-large-cctv-brawl_extended_v2
This model is a fine-tuned version of MCG-NJU/videomae-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7025
- Accuracy: 0.8993
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-07
- 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: 37695
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4212 | 0.07 | 2514 | 0.4737 | 0.7236 |
| 0.2813 | 1.07 | 5028 | 0.3922 | 0.8350 |
| 0.1918 | 2.07 | 7542 | 0.5665 | 0.8734 |
| 0.2002 | 3.07 | 10056 | 0.6058 | 0.8808 |
| 0.1921 | 4.07 | 12570 | 0.6136 | 0.8867 |
| 0.1713 | 5.07 | 15084 | 0.6446 | 0.8914 |
| 0.006 | 6.07 | 17598 | 0.6783 | 0.8918 |
| 0.004 | 7.07 | 20112 | 0.7586 | 0.8863 |
| 0.201 | 8.07 | 22626 | 0.7732 | 0.8906 |
| 0.0237 | 9.07 | 25140 | 0.7025 | 0.8993 |
| 0.0003 | 10.07 | 27654 | 0.7510 | 0.8957 |
| 0.1943 | 11.07 | 30168 | 0.7849 | 0.8989 |
| 0.0001 | 12.07 | 32682 | 0.8075 | 0.8981 |
| 0.0 | 13.07 | 35196 | 0.8347 | 0.8961 |
| 0.0001 | 14.07 | 37695 | 0.8329 | 0.8985 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1