---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset-finetuned
  results: []
---

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

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9147
- Accuracy: 0.7701

## 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: 2
- eval_batch_size: 2
- 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: 29760

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.537         | 0.2   | 5952  | 1.8361          | 0.4807   |
| 0.8794        | 1.2   | 11904 | 1.6076          | 0.5795   |
| 0.3028        | 2.2   | 17856 | 1.5198          | 0.6318   |
| 0.2322        | 3.2   | 23808 | 0.9564          | 0.7515   |
| 0.4151        | 4.2   | 29760 | 0.9741          | 0.7595   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3