metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-kinetics-finetuned-data-no-yolo-kaggle
results: []
videomae-base-finetuned-kinetics-finetuned-data-no-yolo-kaggle
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: 0.4866
- Accuracy: 0.9046
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: 9e-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
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 4125
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2716 | 0.09 | 376 | 0.6657 | 0.8147 |
| 0.2248 | 1.09 | 752 | 0.5673 | 0.8065 |
| 0.0106 | 2.09 | 1128 | 0.4900 | 0.8529 |
| 0.0548 | 3.09 | 1504 | 0.5760 | 0.8719 |
| 0.0203 | 4.09 | 1880 | 0.8674 | 0.8311 |
| 0.0008 | 5.09 | 2256 | 0.5422 | 0.8692 |
| 0.0004 | 6.09 | 2632 | 0.4938 | 0.8965 |
| 0.0021 | 7.09 | 3008 | 0.7053 | 0.8583 |
| 0.0002 | 8.09 | 3384 | 0.5675 | 0.8747 |
| 0.0003 | 9.09 | 3760 | 0.4930 | 0.9046 |
| 0.0003 | 10.09 | 4125 | 0.4866 | 0.9046 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2