Anomaly-Classification-D2
Collection
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Updated
Timesformers-d2
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1846
- Accuracy: 0.3837
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 6650
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.2571 | 0.1 | 665 | 2.3766 | 0.1290 |
| 2.6714 | 1.1 | 1330 | 2.1852 | 0.3322 |
| 2.043 | 2.1 | 1995 | 2.2204 | 0.4194 |
| 1.9388 | 3.1 | 2660 | 2.3677 | 0.3942 |
| 1.0149 | 4.1 | 3325 | 2.7201 | 0.3735 |
| 0.9037 | 5.1 | 3990 | 2.8475 | 0.3990 |
| 0.5886 | 6.1 | 4655 | 3.1694 | 0.2964 |
| 0.0949 | 7.1 | 5320 | 3.3158 | 0.3550 |
| 0.5152 | 8.1 | 5985 | 3.2698 | 0.3849 |
| 0.8404 | 9.1 | 6650 | 3.1846 | 0.3837 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for skywalker290/videomae-timesformer-d2
Base model
facebook/timesformer-base-finetuned-k400