---
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-small-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-small-finetuned-kinetics-finetuned-judo
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# videomae-small-finetuned-kinetics-finetuned-judo

This model is a fine-tuned version of [MCG-NJU/videomae-small-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-small-finetuned-kinetics) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2644
- Accuracy: 0.8889

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 130

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.6846        | 0.1077 | 14   | 0.6309          | 0.6667   |
| 0.5857        | 1.1077 | 28   | 0.5324          | 0.7037   |
| 0.3921        | 2.1077 | 42   | 0.5325          | 0.6296   |
| 0.3011        | 3.1077 | 56   | 0.4113          | 0.8889   |
| 0.2184        | 4.1077 | 70   | 0.3408          | 0.8889   |
| 0.1523        | 5.1077 | 84   | 0.3739          | 0.8519   |
| 0.1197        | 6.1077 | 98   | 0.3697          | 0.7778   |
| 0.0763        | 7.1077 | 112  | 0.2562          | 0.8889   |
| 0.0724        | 8.1077 | 126  | 0.2623          | 0.8889   |
| 0.0685        | 9.0308 | 130  | 0.2644          | 0.8889   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0