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-TikHaram
results: []
videomae-base-finetuned-TikHaram
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: 0.7397
- Accuracy: 0.6887
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: 295
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1138 | 0.1017 | 30 | 0.9141 | 0.7169 |
| 0.6999 | 1.1017 | 60 | 0.6574 | 0.7877 |
| 0.4804 | 2.1017 | 90 | 0.5710 | 0.7961 |
| 0.2795 | 3.1017 | 120 | 0.7722 | 0.7169 |
| 0.1862 | 4.1017 | 150 | 0.6860 | 0.7877 |
| 0.162 | 5.1017 | 180 | 0.6509 | 0.7810 |
| 0.1456 | 6.1017 | 210 | 0.7687 | 0.7574 |
| 0.1351 | 7.1017 | 240 | 0.7653 | 0.7675 |
| 0.0798 | 8.1017 | 270 | 0.7602 | 0.7751 |
| 0.246 | 9.0847 | 295 | 0.7605 | 0.7734 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1