vivit-b-16x2-kinetics400-0513-training-OM_M
This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3642
- Accuracy: 0.805
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: 1
- eval_batch_size: 1
- 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: 5800
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
1.4969 | 0.1 | 580 | 1.2301 | 0.575 |
1.0937 | 1.1 | 1160 | 0.8504 | 0.74 |
0.5884 | 2.1 | 1740 | 1.0705 | 0.77 |
0.0009 | 3.1 | 2320 | 1.2026 | 0.81 |
0.0763 | 4.1 | 2900 | 1.2093 | 0.785 |
0.0002 | 5.1 | 3480 | 1.3946 | 0.79 |
0.0001 | 6.1 | 4060 | 1.2611 | 0.795 |
0.0001 | 7.1 | 4640 | 1.3449 | 0.805 |
0.0002 | 8.1 | 5220 | 1.3570 | 0.81 |
0.0002 | 9.1 | 5800 | 1.3642 | 0.805 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model state unknown