---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-large
  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-large

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0993
- Accuracy: 0.9742

## 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: 32
- eval_batch_size: 32
- 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: 300

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.3203        | 0.03  | 10   | 2.1994          | 0.1571   |
| 1.9795        | 1.03  | 20   | 1.7835          | 0.3429   |
| 1.0467        | 2.03  | 30   | 0.7311          | 0.6571   |
| 0.301         | 3.03  | 40   | 0.2195          | 0.9429   |
| 0.1061        | 4.03  | 50   | 0.1529          | 0.9143   |
| 0.0499        | 5.03  | 60   | 0.0826          | 0.9857   |
| 0.079         | 6.03  | 70   | 0.0534          | 0.9857   |
| 0.0487        | 7.03  | 80   | 0.0299          | 0.9857   |
| 0.0217        | 8.03  | 90   | 0.3283          | 0.9      |
| 0.0387        | 9.03  | 100  | 0.0268          | 0.9857   |
| 0.0252        | 10.03 | 110  | 0.0386          | 0.9857   |
| 0.0324        | 11.03 | 120  | 0.3067          | 0.9      |
| 0.0022        | 12.03 | 130  | 0.0131          | 1.0      |
| 0.0115        | 13.03 | 140  | 0.0889          | 0.9857   |
| 0.0225        | 14.03 | 150  | 0.0091          | 1.0      |
| 0.0012        | 15.03 | 160  | 0.0081          | 1.0      |
| 0.001         | 16.03 | 170  | 0.0103          | 1.0      |
| 0.0255        | 17.03 | 180  | 0.0113          | 1.0      |
| 0.0016        | 18.03 | 190  | 0.0252          | 0.9857   |
| 0.0039        | 19.03 | 200  | 0.0177          | 0.9857   |
| 0.0007        | 20.03 | 210  | 0.0017          | 1.0      |
| 0.0006        | 21.03 | 220  | 0.0013          | 1.0      |
| 0.0006        | 22.03 | 230  | 0.0012          | 1.0      |
| 0.0007        | 23.03 | 240  | 0.0011          | 1.0      |
| 0.0005        | 24.03 | 250  | 0.0011          | 1.0      |
| 0.0005        | 25.03 | 260  | 0.0011          | 1.0      |
| 0.0005        | 26.03 | 270  | 0.0011          | 1.0      |
| 0.0005        | 27.03 | 280  | 0.0011          | 1.0      |
| 0.0005        | 28.03 | 290  | 0.0011          | 1.0      |
| 0.0005        | 29.03 | 300  | 0.0011          | 1.0      |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2