vivit-b-16x2-kinetics400-finetuned-ucf101-subset
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: 0.0546
- Accuracy: 0.9730
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: 1200
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0224 | 0.25 | 300 | 0.0600 | 0.9730 |
| 0.0011 | 1.25 | 600 | 0.2143 | 0.9730 |
| 0.0004 | 2.25 | 900 | 0.0444 | 0.9730 |
| 0.0005 | 3.25 | 1200 | 0.0546 | 0.9730 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
- Downloads last month
- 66
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for NiiCole/vivit-b-16x2-kinetics400-finetuned-ucf101-subset
Base model
google/vivit-b-16x2-kinetics400