|
--- |
|
license: mit |
|
base_model: google/vivit-b-16x2-kinetics400 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: vivit-b-16x2-kinetics400-finetuned-ucf101-subset-new |
|
results: [] |
|
datasets: |
|
- sayakpaul/ucf101-subset |
|
pipeline_tag: video-classification |
|
--- |
|
|
|
<!-- 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-finetuned-ucf101-subset-new |
|
|
|
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: 0.0228 |
|
- Accuracy: 0.9933 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.027 | 0.25 | 300 | 0.0306 | 1.0 | |
|
| 0.0036 | 1.25 | 600 | 0.0418 | 0.9799 | |
|
| 0.019 | 2.25 | 900 | 0.0046 | 1.0 | |
|
| 0.001 | 3.25 | 1200 | 0.0228 | 0.9933 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.19.1 |
