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-crimevbinary-balanced-v2
results: []
videomae-base-finetuned-ucf-crimevbinary-balanced-v2
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: 0.4152
- Accuracy: 0.8611
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
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7145 | 1.0 | 29 | 0.6655 | 0.6667 |
| 0.6129 | 2.0 | 58 | 0.5762 | 0.75 |
| 0.4643 | 3.0 | 87 | 0.4933 | 0.8333 |
| 0.4492 | 4.0 | 116 | 0.4950 | 0.8056 |
| 0.4217 | 5.0 | 145 | 0.4098 | 0.8333 |
| 0.3298 | 6.0 | 174 | 0.6611 | 0.75 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3