videomae-base-finetuned-kinetics-finetuned-my-dataset-4-epochs
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: 0.1598
- Accuracy: 0.9583
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: 6
- eval_batch_size: 6
- 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: 572
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4072 | 0.25 | 144 | 0.6894 | 0.7474 |
| 0.1778 | 1.25 | 288 | 0.2763 | 0.9105 |
| 0.1602 | 2.25 | 432 | 0.2831 | 0.8947 |
| 0.0134 | 3.24 | 572 | 0.1867 | 0.9474 |
Framework versions
- Transformers 4.39.0
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 59
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for yehiawp4/videomae-base-finetuned-kinetics-finetuned-my-dataset-4-epochs
Base model
MCG-NJU/videomae-base-finetuned-kinetics