metadata
license: cc-by-nc-4.0
base_model: facebook/timesformer-base-finetuned-k400
tags:
- generated_from_trainer
model-index:
- name: anomaly-detection-flow
results: []
anomaly-detection-flow
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: 0.6828
- Auc: 0.6963
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Auc |
|---|---|---|---|---|
| 1.0734 | 1.0 | 805 | 0.8667 | 0.5397 |
| 0.7801 | 2.0 | 1610 | 0.6828 | 0.6963 |
| 0.7527 | 3.0 | 2415 | 1.0352 | 0.7117 |
| 0.6998 | 4.0 | 3220 | 1.0508 | 0.7091 |
| 0.5515 | 5.0 | 4025 | 1.6155 | 0.6930 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1