ft-videomae-ucf101
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on the aisuko/funsd-layoutlmv3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0918
- Accuracy: 1.0
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: 2
- eval_batch_size: 2
- 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: 150
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1773 | 1.0 | 150 | 0.0918 | 1.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for pjangid/ft-videomae-ucf101
Base model
MCG-NJU/videomae-base-finetuned-kinetics