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

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: 1.4178
- Accuracy: 0.5714

## 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: 12
- eval_batch_size: 12
- 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: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.504         | 0.02  | 11   | 1.3929          | 0.3433   |
| 1.3539        | 1.02  | 22   | 1.3380          | 0.1940   |
| 1.2957        | 2.02  | 33   | 1.3519          | 0.2239   |
| 1.2368        | 3.02  | 44   | 1.3220          | 0.3881   |
| 1.1561        | 4.02  | 55   | 1.2803          | 0.3134   |
| 1.0195        | 5.02  | 66   | 1.2588          | 0.5373   |
| 0.8594        | 6.02  | 77   | 1.1591          | 0.5075   |
| 0.8756        | 7.02  | 88   | 0.9532          | 0.6119   |
| 0.6488        | 8.02  | 99   | 1.1922          | 0.5373   |
| 0.4427        | 9.02  | 110  | 0.9780          | 0.6567   |
| 0.3975        | 10.02 | 121  | 1.3228          | 0.5373   |
| 0.3978        | 11.02 | 132  | 1.2083          | 0.6418   |
| 0.2859        | 12.02 | 143  | 1.0027          | 0.7463   |
| 0.3441        | 13.02 | 154  | 1.3718          | 0.5821   |
| 0.2239        | 14.02 | 165  | 1.4324          | 0.5821   |
| 0.2275        | 15.02 | 176  | 1.1823          | 0.6418   |
| 0.1734        | 16.02 | 187  | 1.5484          | 0.6119   |
| 0.2451        | 17.02 | 198  | 1.3764          | 0.5821   |
| 0.1317        | 18.02 | 209  | 1.3731          | 0.6716   |
| 0.0778        | 19.02 | 220  | 1.3567          | 0.7164   |
| 0.1963        | 20.02 | 231  | 1.0905          | 0.7164   |
| 0.1474        | 21.02 | 242  | 2.1361          | 0.4627   |
| 0.0487        | 22.02 | 253  | 1.2189          | 0.7164   |
| 0.0699        | 23.02 | 264  | 1.7618          | 0.5970   |
| 0.1576        | 24.02 | 275  | 1.1939          | 0.7463   |
| 0.0377        | 25.02 | 286  | 1.2287          | 0.7313   |
| 0.0674        | 26.02 | 297  | 1.5247          | 0.6567   |
| 0.0188        | 27.02 | 308  | 1.7585          | 0.6567   |
| 0.0681        | 28.02 | 319  | 1.7868          | 0.6567   |
| 0.0341        | 29.02 | 330  | 1.3745          | 0.6567   |
| 0.05          | 30.02 | 341  | 1.8781          | 0.6418   |
| 0.0269        | 31.02 | 352  | 1.9228          | 0.5970   |
| 0.0213        | 32.02 | 363  | 1.8014          | 0.6119   |
| 0.0061        | 33.02 | 374  | 1.4477          | 0.6866   |
| 0.0338        | 34.02 | 385  | 1.5303          | 0.6567   |
| 0.0086        | 35.02 | 396  | 1.5219          | 0.7015   |
| 0.0891        | 36.02 | 407  | 1.8414          | 0.5821   |
| 0.0032        | 37.02 | 418  | 1.8731          | 0.5821   |
| 0.0028        | 38.02 | 429  | 1.6881          | 0.6418   |
| 0.0434        | 39.02 | 440  | 1.7288          | 0.6567   |
| 0.0018        | 40.02 | 451  | 1.8235          | 0.6119   |
| 0.0232        | 41.02 | 462  | 1.8903          | 0.6119   |
| 0.0016        | 42.02 | 473  | 1.9292          | 0.6119   |
| 0.0016        | 43.02 | 484  | 1.9059          | 0.6119   |
| 0.0029        | 44.02 | 495  | 1.8093          | 0.6418   |
| 0.0519        | 45.01 | 500  | 1.8045          | 0.6418   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3