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---
license: mit
base_model: google/vivit-b-16x2-kinetics400
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vivit-b-16x2-kinetics400-0513-O_M
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vivit-b-16x2-kinetics400-0513-O_M
This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-16x2-kinetics400) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0697
- 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: 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: 2900
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5951 | 0.1 | 290 | 1.5856 | 0.45 |
| 1.1484 | 1.1 | 580 | 0.9889 | 0.65 |
| 0.436 | 2.1 | 870 | 0.7230 | 0.77 |
| 0.1011 | 3.1 | 1160 | 1.0218 | 0.78 |
| 0.0631 | 4.1 | 1450 | 1.0562 | 0.805 |
| 0.0005 | 5.1 | 1740 | 1.0855 | 0.805 |
| 0.0004 | 6.1 | 2030 | 1.2053 | 0.785 |
| 0.0005 | 7.1 | 2320 | 1.1131 | 0.8 |
| 0.1483 | 8.1 | 2610 | 1.0447 | 0.81 |
| 0.0013 | 9.1 | 2900 | 1.0697 | 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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