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-final-contest
results: []
videomae-base-finetuned-kinetics-final-contest
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: 0.6795
- Accuracy: 0.8458
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: 2464
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0054 | 0.0913 | 225 | 0.9635 | 0.7764 |
| 0.3981 | 1.0913 | 450 | 0.7286 | 0.7747 |
| 0.1595 | 2.0913 | 675 | 0.6008 | 0.8215 |
| 0.0302 | 3.0913 | 900 | 0.7152 | 0.8024 |
| 0.015 | 4.0913 | 1125 | 0.7613 | 0.7903 |
| 0.0019 | 5.0913 | 1350 | 0.6450 | 0.8354 |
| 0.0037 | 6.0913 | 1575 | 0.5948 | 0.8510 |
| 0.0037 | 7.0913 | 1800 | 0.6545 | 0.8354 |
| 0.0005 | 8.0913 | 2025 | 0.6526 | 0.8440 |
| 0.0005 | 9.0913 | 2250 | 0.6803 | 0.8458 |
| 0.0004 | 10.0869 | 2464 | 0.6795 | 0.8458 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1