---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset-nimeshbuddhika
  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-nimeshbuddhika

This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1097
- Accuracy: 0.9731

## 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: 1500

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.4285        | 0.1   | 150  | 2.1186          | 0.2032   |
| 0.9154        | 1.1   | 300  | 1.1913          | 0.6043   |
| 0.4498        | 2.1   | 450  | 0.3770          | 0.8824   |
| 0.3012        | 3.1   | 600  | 0.3904          | 0.8663   |
| 0.1458        | 4.1   | 750  | 0.8938          | 0.7968   |
| 0.0464        | 5.1   | 900  | 0.6181          | 0.8556   |
| 0.0274        | 6.1   | 1050 | 0.7182          | 0.8075   |
| 0.0022        | 7.1   | 1200 | 0.4525          | 0.8717   |
| 0.0302        | 8.1   | 1350 | 0.3172          | 0.9091   |
| 0.0166        | 9.1   | 1500 | 0.2898          | 0.8984   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3