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

This model is a fine-tuned version of [sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset](https://huggingface.co/sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3578
- Accuracy: 0.8387

## 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: 77

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9326        | 0.16  | 12   | 0.6945          | 0.6316   |
| 0.5856        | 1.16  | 24   | 0.5931          | 0.5789   |
| 0.3968        | 2.16  | 36   | 0.4350          | 0.7368   |
| 0.362         | 3.16  | 48   | 0.6303          | 0.7105   |
| 0.1438        | 4.16  | 60   | 0.7715          | 0.6842   |
| 0.0632        | 5.16  | 72   | 0.8964          | 0.6579   |
| 0.0632        | 6.06  | 77   | 0.9021          | 0.6842   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0