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

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: 1.6497
- Accuracy: 0.4464

## 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: 1110

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.6811        | 0.1   | 112  | 2.6770          | 0.0536   |
| 2.5749        | 1.1   | 224  | 2.5443          | 0.1607   |
| 2.5502        | 2.1   | 336  | 2.3254          | 0.1786   |
| 2.2348        | 3.1   | 448  | 2.1844          | 0.3214   |
| 1.8674        | 4.1   | 560  | 2.0689          | 0.375    |
| 1.9905        | 5.1   | 672  | 2.2431          | 0.2679   |
| 1.3901        | 6.1   | 784  | 1.7099          | 0.3929   |
| 1.6569        | 7.1   | 896  | 1.6179          | 0.4821   |
| 1.3572        | 8.1   | 1008 | 1.7215          | 0.4286   |
| 0.8182        | 9.09  | 1110 | 1.6497          | 0.4464   |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2