videomae-base-finetuned-MSU-REU-model
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: 0.2231
- Accuracy: 0.8806
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: 48
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6671 | 0.2708 | 13 | 0.5908 | 0.6716 |
| 0.5526 | 1.2708 | 26 | 0.5470 | 0.7313 |
| 0.3683 | 2.2708 | 39 | 0.4721 | 0.7910 |
| 0.19 | 3.1875 | 48 | 0.2231 | 0.8806 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for kcalle02/videomae-base-finetuned-MSU-REU-model
Base model
MCG-NJU/videomae-base