videomae-base-finetuned-arcrossing-subset
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: 0.5619
- Accuracy: 0.8235
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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5825 | 1.0 | 17 | 0.5619 | 0.8235 |
| 0.6522 | 2.0 | 34 | 0.6218 | 0.8235 |
| 0.3963 | 3.0 | 51 | 0.5544 | 0.8235 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu124
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for jayparmar0707/videomae-base-finetuned-arcrossing-subset
Base model
MCG-NJU/videomae-base