videomae-small-finetuned-kinetics-finetuned-ucf101-subset
This model is a fine-tuned version of MCG-NJU/videomae-small-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3405
- Accuracy: 0.9051
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 3616
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.2996 | 0.2503 | 905 | 0.4369 | 0.8533 |
0.5382 | 1.2503 | 1810 | 0.5320 | 0.8385 |
0.1683 | 2.2503 | 2715 | 0.4595 | 0.8726 |
0.1197 | 3.2492 | 3616 | 0.3138 | 0.9165 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for zalim0zalima/videomae-small-finetuned-kinetics-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-small-finetuned-kinetics