metadata
license: mit
base_model: google/vivit-b-16x2-kinetics400
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vivit-b-16x2-kinetics400-finetuned-kinectic
results: []
vivit-b-16x2-kinetics400-finetuned-kinectic
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: 0.9264
- Accuracy: 0.7342
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: 300
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0732 | 0.17 | 50 | 1.2968 | 0.4702 |
| 1.5128 | 1.17 | 100 | 1.0409 | 0.6607 |
| 0.1189 | 2.17 | 150 | 0.9205 | 0.6607 |
| 0.3398 | 3.17 | 200 | 0.7474 | 0.7440 |
| 0.0102 | 4.17 | 250 | 1.0972 | 0.6786 |
| 0.0035 | 5.17 | 300 | 0.9135 | 0.7143 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2