metadata
license: mit
base_model: google/vivit-b-16x2-kinetics400
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vivit-b-16x2-kinetics400_training_O_OM_0519
results: []
vivit-b-16x2-kinetics400_training_O_OM_0519
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: 1.1012
- Accuracy: 0.815
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: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9097 | 0.1 | 300 | 0.9219 | 0.64 |
| 0.0229 | 1.1 | 600 | 0.7215 | 0.83 |
| 0.0019 | 2.1 | 900 | 0.9705 | 0.815 |
| 0.2377 | 3.1 | 1200 | 1.0544 | 0.815 |
| 0.0002 | 4.1 | 1500 | 1.1033 | 0.8 |
| 0.0003 | 5.1 | 1800 | 1.0511 | 0.82 |
| 0.0002 | 6.1 | 2100 | 1.0354 | 0.805 |
| 0.0033 | 7.1 | 2400 | 1.1037 | 0.81 |
| 0.0002 | 8.1 | 2700 | 1.0985 | 0.815 |
| 0.0002 | 9.1 | 3000 | 1.1012 | 0.815 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1