metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: videomae-base-finetuned-kinetics-finetuned-shoplifting-dataset
results: []
videomae-base-finetuned-kinetics-finetuned-shoplifting-dataset
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9494
- F1: 0.7192
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: 880
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.1824 | 0.1011 | 89 | 1.0068 | 0.6832 |
| 0.334 | 1.1 | 177 | 0.9260 | 0.6805 |
| 0.2202 | 2.1 | 265 | 0.9856 | 0.7139 |
| 0.2074 | 3.1 | 353 | 0.9494 | 0.7192 |
| 0.0916 | 4.1 | 441 | 1.3867 | 0.6711 |
| 0.1092 | 5.1 | 529 | 1.3758 | 0.6920 |
| 0.0804 | 6.1 | 617 | 1.3788 | 0.6968 |
| 0.0654 | 7.1 | 705 | 1.2970 | 0.6973 |
| 0.0065 | 8.1 | 793 | 1.4780 | 0.7006 |
| 0.0024 | 9.0989 | 880 | 1.4464 | 0.7006 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.2.0
- Datasets 2.20.0
- Tokenizers 0.19.1