transformers safetensors videomae video-classification generated_from_trainer base_model:MCG-NJU/videomae-base license:cc-by-nc-4.0 endpoints_compatible region:us
---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset
  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-base-finetuned-ucf101-subset

This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0503
- Accuracy: 0.9857

## 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: 1200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.1866        | 0.06  | 75   | 2.0837          | 0.2286   |
| 0.898         | 1.06  | 150  | 0.8424          | 0.6429   |
| 0.4187        | 2.06  | 225  | 0.6812          | 0.7429   |
| 0.3636        | 3.06  | 300  | 0.5211          | 0.8286   |
| 0.1533        | 4.06  | 375  | 0.5294          | 0.8143   |
| 0.136         | 5.06  | 450  | 0.1853          | 0.9286   |
| 0.1537        | 6.06  | 525  | 0.0949          | 0.9714   |
| 0.0734        | 7.06  | 600  | 0.1561          | 0.9571   |
| 0.0039        | 8.06  | 675  | 0.1018          | 0.9857   |
| 0.0042        | 9.06  | 750  | 0.0403          | 0.9857   |
| 0.0028        | 10.06 | 825  | 0.1176          | 0.9714   |
| 0.0082        | 11.06 | 900  | 0.0272          | 0.9857   |
| 0.0022        | 12.06 | 975  | 0.0345          | 0.9857   |
| 0.002         | 13.06 | 1050 | 0.0631          | 0.9857   |
| 0.002         | 14.06 | 1125 | 0.0469          | 0.9714   |
| 0.0095        | 15.06 | 1200 | 0.0503          | 0.9857   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
