---
base_model: hf-tiny-model-private/tiny-random-VideoMAEModel
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: VideoMAE-tiny-finetuned-ucf101-subset
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# VideoMAE-tiny-finetuned-ucf101-subset

This model is a fine-tuned version of [hf-tiny-model-private/tiny-random-VideoMAEModel](https://huggingface.co/hf-tiny-model-private/tiny-random-VideoMAEModel) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2723
- Accuracy: 0.1455

## 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: 8
- eval_batch_size: 8
- 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: 148

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.3099        | 0.26  | 38   | 2.2978          | 0.0893   |
| 2.3305        | 1.26  | 76   | 2.2971          | 0.0893   |
| 2.2972        | 2.26  | 114  | 2.2965          | 0.0893   |
| 2.3006        | 3.23  | 148  | 2.2967          | 0.0893   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2