metadata
license: mit
base_model: google/vivit-b-16x2-kinetics400
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vivit-b-16x2-kinetics400-finetuned-vivit-severity
results: []
vivit-b-16x2-kinetics400-finetuned-vivit-severity
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: 1.0088
- Accuracy: 0.8530
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: 5210
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0504 | 0.1 | 521 | 0.9279 | 0.8280 |
| 1.1617 | 1.1 | 1042 | 0.9890 | 0.8280 |
| 0.5088 | 2.1 | 1563 | 0.8413 | 0.8172 |
| 0.7947 | 3.1 | 2084 | 0.7631 | 0.8423 |
| 0.0028 | 4.1 | 2605 | 0.8718 | 0.8459 |
| 0.7502 | 5.1 | 3126 | 0.9022 | 0.8495 |
| 0.814 | 6.1 | 3647 | 0.8467 | 0.8423 |
| 0.5251 | 7.1 | 4168 | 0.8914 | 0.8602 |
| 0.9977 | 8.1 | 4689 | 0.9599 | 0.8530 |
| 0.0007 | 9.1 | 5210 | 1.0088 | 0.8530 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.0.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1