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-ucfcrime-full2
results: []
videomae-base-finetuned-ucfcrime-full2
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: 2.5470
- Accuracy: 0.2143
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 800
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.2039 | 0.125 | 100 | 2.4597 | 0.1644 |
| 1.8182 | 1.125 | 200 | 2.3359 | 0.2046 |
| 1.9124 | 2.125 | 300 | 2.6805 | 0.2078 |
| 1.7017 | 3.125 | 400 | 2.3331 | 0.2453 |
| 1.68 | 4.125 | 500 | 2.2637 | 0.2225 |
| 1.5457 | 5.125 | 600 | 2.4711 | 0.2284 |
| 1.4727 | 6.125 | 700 | 2.3691 | 0.2110 |
| 1.5393 | 7.125 | 800 | 2.4561 | 0.2025 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1