---
license: cc-by-nc-4.0
base_model: abduldattijo/videomae-base-finetuned-ucf101-subset
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset-V4KILLER
  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-V4KILLER

This model is a fine-tuned version of [abduldattijo/videomae-base-finetuned-ucf101-subset](https://huggingface.co./abduldattijo/videomae-base-finetuned-ucf101-subset) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2156
- Accuracy: 0.9390

## 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: 10
- eval_batch_size: 10
- 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: 1010

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5038        | 0.1   | 102  | 0.3170          | 0.8885   |
| 0.4437        | 1.1   | 204  | 0.2099          | 0.9207   |
| 0.4716        | 2.1   | 306  | 0.1865          | 0.9316   |
| 0.4066        | 3.1   | 408  | 0.2122          | 0.9171   |
| 0.193         | 4.1   | 510  | 0.3358          | 0.8943   |
| 0.1657        | 5.1   | 612  | 0.2676          | 0.9232   |
| 0.1507        | 6.1   | 714  | 0.2100          | 0.9282   |
| 0.3165        | 7.1   | 816  | 0.1699          | 0.9535   |
| 0.0733        | 8.1   | 918  | 0.3537          | 0.9280   |
| 0.0851        | 9.09  | 1010 | 0.3110          | 0.9349   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0