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-colab
results: []
videomae-base-finetuned-kinetics-finetuned-data-no-yolo-colab
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: 0.3187
- Accuracy: 0.9237
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: 4
- eval_batch_size: 4
- 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: 2057
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5766 | 0.09 | 188 | 0.7504 | 0.7956 |
| 0.4124 | 1.09 | 376 | 0.4797 | 0.8638 |
| 0.104 | 2.09 | 564 | 0.5037 | 0.8583 |
| 0.0652 | 3.09 | 752 | 0.5683 | 0.8556 |
| 0.0821 | 4.09 | 940 | 0.4314 | 0.8992 |
| 0.0015 | 5.09 | 1128 | 0.5824 | 0.8883 |
| 0.0024 | 6.09 | 1316 | 0.4310 | 0.8883 |
| 0.0007 | 7.09 | 1504 | 0.4375 | 0.8992 |
| 0.0007 | 8.09 | 1692 | 0.3199 | 0.9183 |
| 0.0006 | 9.09 | 1880 | 0.3189 | 0.9210 |
| 0.0006 | 10.09 | 2057 | 0.3187 | 0.9237 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2