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-face
results: []
videomae-base-face
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: 1.8802
- Accuracy: 0.6944
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: 5
- eval_batch_size: 5
- 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: 1200
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6771 | 16.0033 | 100 | 1.5844 | 0.2222 |
| 0.2052 | 33.0017 | 200 | 1.8833 | 0.4722 |
| 0.6001 | 49.005 | 300 | 1.4486 | 0.6944 |
| 0.3118 | 66.0033 | 400 | 0.1618 | 0.9722 |
| 0.0046 | 83.0017 | 500 | 2.1274 | 0.6944 |
| 0.0528 | 99.005 | 600 | 1.8246 | 0.7222 |
| 0.0174 | 116.0033 | 700 | 1.9694 | 0.7222 |
| 0.2597 | 133.0017 | 800 | 2.0549 | 0.6944 |
| 0.0505 | 149.005 | 900 | 1.9087 | 0.7222 |
| 0.0014 | 166.0033 | 1000 | 2.0244 | 0.6944 |
| 0.0324 | 183.0017 | 1100 | 1.5456 | 0.75 |
| 0.0011 | 199.005 | 1200 | 1.8802 | 0.6944 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.4.1+cu118
- Datasets 3.0.0
- Tokenizers 0.20.0