---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-ssv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ssv2-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-ssv2-finetuned-ucf101-subset

This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-ssv2](https://huggingface.co./MCG-NJU/videomae-base-finetuned-ssv2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2464
- Accuracy: 0.8824

## 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: 3e-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: 68

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7033        | 0.19  | 13   | 0.5031          | 0.8824   |
| 0.5179        | 1.19  | 26   | 0.3586          | 0.9412   |
| 0.2945        | 2.19  | 39   | 0.3353          | 0.8235   |
| 0.1903        | 3.19  | 52   | 0.3093          | 0.8824   |
| 0.1997        | 4.19  | 65   | 0.2478          | 0.8824   |
| 0.1997        | 5.04  | 68   | 0.2464          | 0.8824   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0