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_BdSLW60_FrameRateCorrected_withoutAug
results: []
VideoMAE_BdSLW60_FrameRateCorrected_withoutAug
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: 0.7568
- Accuracy: 0.8080
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 22400
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.1009 | 0.0400 | 897 | 2.3993 | 0.5082 |
| 0.3152 | 1.0401 | 1795 | 0.2117 | 0.9612 |
| 0.0363 | 2.0401 | 2693 | 0.0375 | 0.9918 |
| 0.0431 | 3.0401 | 3591 | 0.0841 | 0.9765 |
| 0.0554 | 4.0400 | 4488 | 0.0323 | 0.9941 |
| 0.0467 | 5.0401 | 5386 | 0.0614 | 0.9835 |
| 0.0324 | 6.0401 | 6284 | 0.0944 | 0.9859 |
| 0.0381 | 7.0401 | 7182 | 0.0583 | 0.9871 |
| 0.0039 | 8.0400 | 8079 | 0.0307 | 0.9918 |
| 0.0149 | 9.0401 | 8977 | 0.0694 | 0.9859 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1