---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-Vsl-Lab-PC-V7
  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-V7

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1302
- Accuracy: 0.8326

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2342        | 0.02  | 81   | 1.2321          | 0.7854   |
| 0.134         | 1.02  | 162  | 1.1259          | 0.8112   |
| 0.0524        | 2.02  | 243  | 1.2486          | 0.7768   |
| 0.0214        | 3.02  | 324  | 1.2101          | 0.8155   |
| 0.0607        | 4.02  | 405  | 1.3376          | 0.7897   |
| 0.0624        | 5.02  | 486  | 1.4538          | 0.7811   |
| 0.013         | 6.02  | 567  | 1.4118          | 0.7854   |
| 0.0545        | 7.02  | 648  | 1.8297          | 0.7511   |
| 0.0834        | 8.02  | 729  | 1.2903          | 0.7897   |
| 0.0261        | 9.02  | 810  | 1.3051          | 0.7983   |
| 0.1063        | 10.02 | 891  | 1.3785          | 0.7725   |
| 0.0011        | 11.02 | 972  | 1.3544          | 0.7940   |
| 0.0002        | 12.02 | 1053 | 1.1987          | 0.8326   |
| 0.0001        | 13.02 | 1134 | 1.1977          | 0.8283   |
| 0.0001        | 14.02 | 1215 | 1.1963          | 0.8326   |
| 0.0001        | 15.02 | 1296 | 1.1962          | 0.8326   |
| 0.0001        | 16.02 | 1377 | 1.1868          | 0.8369   |
| 0.0001        | 17.02 | 1458 | 1.0947          | 0.8326   |
| 0.0001        | 18.02 | 1539 | 1.1421          | 0.8283   |
| 0.007         | 19.02 | 1620 | 1.3070          | 0.7854   |
| 0.0001        | 20.02 | 1701 | 1.1657          | 0.8155   |
| 0.0001        | 21.02 | 1782 | 1.1627          | 0.8112   |
| 0.0001        | 22.02 | 1863 | 1.1432          | 0.8197   |
| 0.0001        | 23.02 | 1944 | 1.1271          | 0.8155   |
| 0.0001        | 24.02 | 2025 | 1.1188          | 0.8283   |
| 0.0957        | 25.02 | 2106 | 1.2623          | 0.8155   |
| 0.0001        | 26.02 | 2187 | 1.0093          | 0.8498   |
| 0.0001        | 27.02 | 2268 | 1.0397          | 0.8498   |
| 0.0001        | 28.02 | 2349 | 1.0425          | 0.8498   |
| 0.0001        | 29.02 | 2430 | 1.0113          | 0.8369   |
| 0.0001        | 30.02 | 2511 | 1.0144          | 0.8369   |
| 0.0001        | 31.02 | 2592 | 1.0132          | 0.8369   |
| 0.0001        | 32.02 | 2673 | 1.0325          | 0.8326   |
| 0.0321        | 33.02 | 2754 | 1.1152          | 0.8283   |
| 0.0001        | 34.02 | 2835 | 1.1767          | 0.8069   |
| 0.0001        | 35.02 | 2916 | 1.1709          | 0.8112   |
| 0.0001        | 36.02 | 2997 | 1.1632          | 0.8155   |
| 0.0001        | 37.02 | 3078 | 1.1567          | 0.8197   |
| 0.0001        | 38.02 | 3159 | 1.1511          | 0.8197   |
| 0.0001        | 39.02 | 3240 | 1.1263          | 0.8283   |
| 0.0001        | 40.02 | 3321 | 1.1233          | 0.8283   |
| 0.0001        | 41.02 | 3402 | 1.1222          | 0.8326   |
| 0.0001        | 42.02 | 3483 | 1.1212          | 0.8283   |
| 0.0001        | 43.02 | 3564 | 1.1206          | 0.8283   |
| 0.0001        | 44.02 | 3645 | 1.1200          | 0.8283   |
| 0.0001        | 45.02 | 3726 | 1.1197          | 0.8283   |
| 0.0001        | 46.02 | 3807 | 1.1243          | 0.8283   |
| 0.0001        | 47.02 | 3888 | 1.1303          | 0.8326   |
| 0.0001        | 48.02 | 3969 | 1.1302          | 0.8326   |
| 0.0001        | 49.01 | 4000 | 1.1302          | 0.8326   |


### Framework versions

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