metadata
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
vivit-b-16x2-kinetics400-finetuned-ucf101-subset-new
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: 0.0228
- 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