---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-Vsl-Lab-PC-V9
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# videomae-base-Vsl-Lab-PC-V9

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3401
- Accuracy: 0.8112

## 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: 10
- eval_batch_size: 10
- 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: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0001        | 0.02  | 81   | 1.0305          | 0.8455   |
| 0.0001        | 1.02  | 162  | 1.0570          | 0.8412   |
| 0.0           | 2.02  | 243  | 1.0822          | 0.8369   |
| 0.0           | 3.02  | 324  | 1.1003          | 0.8412   |
| 0.0           | 4.02  | 405  | 1.1198          | 0.8412   |
| 0.5974        | 5.02  | 486  | 1.9278          | 0.6953   |
| 0.2193        | 6.02  | 567  | 1.1442          | 0.7554   |
| 0.0261        | 7.02  | 648  | 0.9625          | 0.8026   |
| 0.0859        | 8.02  | 729  | 1.1657          | 0.8155   |
| 0.0044        | 9.02  | 810  | 1.2597          | 0.8197   |
| 0.0007        | 10.02 | 891  | 1.2663          | 0.8112   |
| 0.0001        | 11.02 | 972  | 1.2367          | 0.8240   |
| 0.0002        | 12.02 | 1053 | 1.1224          | 0.8326   |
| 0.0002        | 13.02 | 1134 | 1.1528          | 0.8326   |
| 0.0           | 14.02 | 1215 | 1.1598          | 0.8326   |
| 0.0           | 15.02 | 1296 | 1.1572          | 0.8369   |
| 0.0           | 16.02 | 1377 | 1.1560          | 0.8369   |
| 0.0           | 17.02 | 1458 | 1.1555          | 0.8369   |
| 0.0002        | 18.02 | 1539 | 1.3611          | 0.8112   |
| 0.0           | 19.02 | 1620 | 1.2183          | 0.8326   |
| 0.0           | 20.02 | 1701 | 1.2105          | 0.8283   |
| 0.0           | 21.02 | 1782 | 1.2063          | 0.8283   |
| 0.0           | 22.02 | 1863 | 1.2034          | 0.8283   |
| 0.0           | 23.02 | 1944 | 1.2020          | 0.8283   |
| 0.001         | 24.02 | 2025 | 1.1831          | 0.8412   |
| 0.0687        | 25.02 | 2106 | 1.2683          | 0.8240   |
| 0.0           | 26.02 | 2187 | 1.2521          | 0.8240   |
| 0.0           | 27.02 | 2268 | 1.2430          | 0.8326   |
| 0.0           | 28.02 | 2349 | 1.2394          | 0.8326   |
| 0.0001        | 29.02 | 2430 | 1.2711          | 0.8283   |
| 0.0           | 30.02 | 2511 | 1.2562          | 0.8283   |
| 0.0           | 31.02 | 2592 | 1.2484          | 0.8326   |
| 0.0           | 32.02 | 2673 | 1.2432          | 0.8326   |
| 0.0           | 33.02 | 2754 | 1.2387          | 0.8326   |
| 0.0           | 34.02 | 2835 | 1.2349          | 0.8326   |
| 0.0           | 35.02 | 2916 | 1.2319          | 0.8326   |
| 0.0           | 36.02 | 2997 | 1.2294          | 0.8326   |
| 0.0           | 37.02 | 3078 | 1.2276          | 0.8326   |
| 0.0           | 38.02 | 3159 | 1.2245          | 0.8326   |
| 0.0           | 39.02 | 3240 | 1.2232          | 0.8326   |
| 0.0           | 40.02 | 3321 | 1.2217          | 0.8326   |
| 0.0           | 41.02 | 3402 | 1.2204          | 0.8326   |
| 0.0           | 42.02 | 3483 | 1.3696          | 0.7983   |
| 0.0001        | 43.02 | 3564 | 1.3923          | 0.7940   |
| 0.0           | 44.02 | 3645 | 1.3421          | 0.8112   |
| 0.0           | 45.02 | 3726 | 1.3414          | 0.8112   |
| 0.0           | 46.02 | 3807 | 1.3407          | 0.8112   |
| 0.0           | 47.02 | 3888 | 1.3403          | 0.8112   |
| 0.0           | 48.02 | 3969 | 1.3401          | 0.8112   |
| 0.0           | 49.01 | 4000 | 1.3401          | 0.8112   |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2