---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-kinetics-finetuned-custom-subset
results: []
---
[
](https://wandb.ai/huangyangyu/huggingface/runs/v8zohmjq)
[
](https://wandb.ai/huangyangyu/huggingface/runs/v8zohmjq)
[
](https://wandb.ai/huangyangyu/huggingface/runs/v8zohmjq)
# videomae-base-finetuned-kinetics-finetuned-custom-subset
This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9783
- Accuracy: 0.7564
## 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: 4
- eval_batch_size: 4
- 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: 710
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.6747 | 0.1014 | 72 | 0.6989 | 0.7308 |
| 0.5585 | 1.1014 | 144 | 0.7504 | 0.7308 |
| 1.0181 | 2.1014 | 216 | 0.5370 | 0.6795 |
| 0.5883 | 3.1014 | 288 | 0.6710 | 0.7308 |
| 0.3918 | 4.1014 | 360 | 0.5803 | 0.7692 |
| 0.3903 | 5.1014 | 432 | 0.5857 | 0.7436 |
| 0.2452 | 6.1014 | 504 | 0.8492 | 0.7308 |
| 0.4107 | 7.1014 | 576 | 0.8475 | 0.7308 |
| 0.099 | 8.1014 | 648 | 0.9360 | 0.7436 |
| 0.0679 | 9.0873 | 710 | 0.9783 | 0.7564 |
### Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.1.1
- Datasets 2.13.2
- Tokenizers 0.19.1