metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf-crimev3
results: []
videomae-base-finetuned-ucf-crimev3
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2215
- Accuracy: 0.3545
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: 3e-05
- 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_steps: 500
- training_steps: 1230
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2429 | 1.0 | 42 | 1.8114 | 0.3091 |
| 1.2691 | 2.0 | 84 | 1.8293 | 0.3273 |
| 0.9197 | 3.0 | 126 | 1.8547 | 0.3364 |
| 0.9611 | 4.0 | 168 | 1.8772 | 0.3455 |
| 0.848 | 5.0 | 210 | 1.8690 | 0.3636 |
| 1.0474 | 6.0 | 252 | 1.8581 | 0.3636 |
| 0.7281 | 7.0 | 294 | 1.9003 | 0.3909 |
| 0.6033 | 8.0 | 336 | 2.0023 | 0.3364 |
| 0.3703 | 9.0 | 378 | 2.1459 | 0.3364 |
| 0.4539 | 10.0 | 420 | 2.2215 | 0.3545 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3