VideoMAE_BdSLW60_SR_8_kineticsFinetuned_withoutAug
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2197
- Accuracy: 0.95
- Precision: 0.9612
- Recall: 0.95
- F1: 0.9458
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use 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: 18560
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
---|---|---|---|---|---|---|---|
2.859 | 0.0501 | 929 | 0.8475 | 0.9183 | 0.9240 | 0.9183 | 0.9087 |
0.0555 | 1.0501 | 1858 | 0.3023 | 0.9217 | 0.9317 | 0.9217 | 0.9093 |
0.0025 | 2.0501 | 2787 | 0.2999 | 0.935 | 0.9378 | 0.935 | 0.9273 |
0.0009 | 3.0501 | 3716 | 0.0876 | 0.9767 | 0.9809 | 0.9767 | 0.9762 |
0.1355 | 4.0501 | 4645 | 0.2540 | 0.9267 | 0.9182 | 0.9267 | 0.9146 |
0.099 | 5.0501 | 5574 | 0.2616 | 0.9633 | 0.9570 | 0.9633 | 0.9578 |
0.0656 | 6.0501 | 6503 | 0.2061 | 0.9617 | 0.9675 | 0.9617 | 0.9598 |
0.0314 | 7.0501 | 7432 | 0.2037 | 0.9533 | 0.9624 | 0.9533 | 0.9526 |
0.0874 | 8.0501 | 8361 | 0.2197 | 0.95 | 0.9612 | 0.95 | 0.9458 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.1
- Downloads last month
- 21
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for Shawon16/VideoMAE_BdSLW60_SR_8_kineticsFinetuned_withoutAug
Base model
MCG-NJU/videomae-base-finetuned-kinetics