videomae-base-finetuned-kinetics-final-contest-baole1-0705
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: 0.3916
- Accuracy: 0.9087
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 |
|---|---|---|---|---|
| 0.641 | 0.0914 | 188 | 0.9443 | 0.7178 |
| 0.1614 | 1.0914 | 376 | 0.4797 | 0.8340 |
| 0.0883 | 2.0914 | 564 | 0.4375 | 0.8672 |
| 0.0963 | 3.0914 | 752 | 0.4745 | 0.8797 |
| 0.0168 | 4.0914 | 940 | 0.4087 | 0.8880 |
| 0.0011 | 5.0914 | 1128 | 0.3451 | 0.8880 |
| 0.0009 | 6.0914 | 1316 | 0.4118 | 0.8838 |
| 0.0007 | 7.0914 | 1504 | 0.3856 | 0.9046 |
| 0.0008 | 8.0914 | 1692 | 0.4004 | 0.8963 |
| 0.0006 | 9.0914 | 1880 | 0.4079 | 0.8963 |
| 0.0005 | 10.0860 | 2057 | 0.3916 | 0.9087 |
Framework versions
- Transformers 4.40.2
- Pytorch 1.13.1+cu117
- Datasets 2.18.0
- Tokenizers 0.19.1
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Model tree for bluebird089/videomae-base-finetuned-kinetics-final-contest-baole1-0705
Base model
MCG-NJU/videomae-base-finetuned-kinetics