videomae-base-finetuned-emonet-subset_5epochs
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8968
- Accuracy: 0.3178
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: 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: 5850
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7451 | 0.1 | 586 | 1.8405 | 0.3507 |
| 1.7772 | 1.1 | 1172 | 2.0249 | 0.3492 |
| 1.5554 | 2.1 | 1758 | 2.1923 | 0.3522 |
| 1.4067 | 3.1 | 2344 | 2.2090 | 0.2660 |
| 1.2998 | 4.1 | 2930 | 2.1675 | 0.3626 |
| 1.3817 | 5.1 | 3516 | 2.2724 | 0.0817 |
| 1.2132 | 6.1 | 4102 | 2.1633 | 0.1129 |
| 1.0237 | 7.1 | 4688 | 2.0873 | 0.2645 |
| 1.1383 | 8.1 | 5274 | 2.0901 | 0.2140 |
| 1.0591 | 9.1 | 5850 | 2.0897 | 0.2125 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for LinboTTT/videomae-base-finetuned-emonet-subset_5epochs
Base model
MCG-NJU/videomae-base