metadata
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_crime2
results: []
videomae-base-finetuned-ucf_crime2
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: 2.1449
- Accuracy: 0.2689
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 504
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.3843 | 0.17 | 85 | 2.5040 | 0.1662 |
| 2.2227 | 1.17 | 170 | 2.3376 | 0.1935 |
| 2.1317 | 2.17 | 255 | 2.2547 | 0.2329 |
| 2.0338 | 3.17 | 340 | 2.1470 | 0.2485 |
| 1.9639 | 4.17 | 425 | 2.0700 | 0.2558 |
| 1.8565 | 5.16 | 504 | 2.0882 | 0.2625 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.0+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1