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

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: 8.1890
- Accuracy: 0.0

## 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: 1800

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.4105        | 0.1   | 180  | 1.6309          | 0.4615   |
| 0.9175        | 1.1   | 360  | 0.4374          | 0.8787   |
| 0.5086        | 2.1   | 540  | 0.3801          | 0.8905   |
| 0.2994        | 3.1   | 720  | 0.3462          | 0.8817   |
| 0.1555        | 4.1   | 900  | 0.3274          | 0.9231   |
| 0.1337        | 5.1   | 1080 | 0.1435          | 0.9615   |
| 0.021         | 6.1   | 1260 | 0.1879          | 0.9615   |
| 0.0485        | 7.1   | 1440 | 0.1055          | 0.9675   |
| 0.0019        | 8.1   | 1620 | 0.0864          | 0.9763   |
| 0.0054        | 9.1   | 1800 | 0.0839          | 0.9763   |


### Framework versions

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