metadata
library_name: transformers
license: mit
base_model: google/vivit-b-16x2-kinetics400
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: vivit-b-16x2-kinetics400-finetuned-cricket_shot_detection_14
results: []
vivit-b-16x2-kinetics400-finetuned-cricket_shot_detection_14
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: 1.0573
- Accuracy: 0.6316
- F1: 0.6559
- Recall: 0.6316
- Precision: 0.7018
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: 7e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- training_steps: 576
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| 1.6885 | 0.1267 | 73 | 1.7082 | 0.1579 | 0.1853 | 0.1579 | 0.4684 |
| 1.2348 | 1.1267 | 146 | 1.3958 | 0.4211 | 0.4354 | 0.4211 | 0.5088 |
| 0.8271 | 2.1267 | 219 | 1.1646 | 0.4737 | 0.5416 | 0.4737 | 0.6754 |
| 0.688 | 3.1267 | 292 | 1.0573 | 0.6316 | 0.6559 | 0.6316 | 0.7018 |
| 0.6263 | 4.1267 | 365 | 1.0327 | 0.5789 | 0.5982 | 0.5789 | 0.6579 |
| 0.4942 | 5.1267 | 438 | 1.0107 | 0.6316 | 0.6333 | 0.6316 | 0.6535 |
| 0.3217 | 6.1267 | 511 | 1.0271 | 0.5789 | 0.5982 | 0.5789 | 0.6579 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0