metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: VideoMAE-UnrealFallDataset
results: []
VideoMAE-UnrealFallDataset
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: 0.1096
- Accuracy: 0.9733
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: 11770
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.8643 | 0.1 | 1178 | 2.1285 | 0.5080 |
| 0.743 | 1.1 | 2356 | 1.1040 | 0.6968 |
| 0.2881 | 2.1 | 3534 | 0.4485 | 0.8779 |
| 0.1943 | 3.1 | 4712 | 0.4007 | 0.8871 |
| 0.08 | 4.1 | 5890 | 0.2446 | 0.9381 |
| 0.0666 | 5.1 | 7068 | 0.3504 | 0.9131 |
| 0.0825 | 6.1 | 8246 | 0.2022 | 0.9470 |
| 0.0059 | 7.1 | 9424 | 0.1628 | 0.9607 |
| 0.0648 | 8.1 | 10602 | 0.1387 | 0.9639 |
| 0.002 | 9.1 | 11770 | 0.1096 | 0.9733 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1