---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-isl-numbers-alphabet-nouns
  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-isl-numbers-alphabet-nouns

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: 0.4278
- Accuracy: 0.8875

## 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: 8
- eval_batch_size: 8
- 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: 15800

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.5228        | 0.02  | 316   | 4.3514          | 0.2534   |
| 3.0795        | 1.02  | 632   | 2.8515          | 0.5816   |
| 1.8438        | 2.02  | 948   | 1.7508          | 0.7332   |
| 1.1451        | 3.02  | 1264  | 1.1464          | 0.7390   |
| 1.0637        | 4.02  | 1580  | 0.7995          | 0.7774   |
| 0.7795        | 5.02  | 1896  | 0.4938          | 0.8829   |
| 0.4484        | 6.02  | 2212  | 0.3833          | 0.8829   |
| 0.2162        | 7.02  | 2528  | 0.2512          | 0.9155   |
| 0.228         | 8.02  | 2844  | 0.1972          | 0.9309   |
| 0.1711        | 9.02  | 3160  | 0.1426          | 0.9482   |
| 0.2251        | 10.02 | 3476  | 0.0965          | 0.9559   |
| 0.1697        | 11.02 | 3792  | 0.1141          | 0.9539   |
| 0.1229        | 12.02 | 4108  | 0.1362          | 0.9539   |
| 0.0676        | 13.02 | 4424  | 0.0745          | 0.9655   |
| 0.1228        | 14.02 | 4740  | 0.0817          | 0.9635   |
| 0.0143        | 15.02 | 5056  | 0.0615          | 0.9693   |
| 0.0621        | 16.02 | 5372  | 0.0768          | 0.9597   |
| 0.0597        | 17.02 | 5688  | 0.0873          | 0.9635   |
| 0.0696        | 18.02 | 6004  | 0.1108          | 0.9539   |
| 0.2761        | 19.02 | 6320  | 0.1413          | 0.9520   |
| 0.129         | 20.02 | 6636  | 0.1471          | 0.9520   |
| 0.0828        | 21.02 | 6952  | 0.0608          | 0.9674   |
| 0.0544        | 22.02 | 7268  | 0.0533          | 0.9712   |
| 0.0509        | 23.02 | 7584  | 0.0499          | 0.9750   |
| 0.0308        | 24.02 | 7900  | 0.0956          | 0.9597   |
| 0.0729        | 25.02 | 8216  | 0.0753          | 0.9731   |
| 0.2328        | 26.02 | 8532  | 0.0774          | 0.9655   |
| 0.1085        | 27.02 | 8848  | 0.0609          | 0.9693   |
| 0.099         | 28.02 | 9164  | 0.0677          | 0.9674   |
| 0.1988        | 29.02 | 9480  | 0.1415          | 0.9559   |
| 0.0747        | 30.02 | 9796  | 0.0581          | 0.9712   |
| 0.0556        | 31.02 | 10112 | 0.0519          | 0.9693   |
| 0.0763        | 32.02 | 10428 | 0.0506          | 0.9731   |
| 0.0635        | 33.02 | 10744 | 0.0492          | 0.9750   |
| 0.0729        | 34.02 | 11060 | 0.0483          | 0.9693   |
| 0.0692        | 35.02 | 11376 | 0.0481          | 0.9750   |
| 0.1023        | 36.02 | 11692 | 0.0478          | 0.9712   |
| 0.0863        | 37.02 | 12008 | 0.0479          | 0.9750   |
| 0.0934        | 38.02 | 12324 | 0.0464          | 0.9712   |
| 0.0927        | 39.02 | 12640 | 0.0462          | 0.9712   |
| 0.0254        | 40.02 | 12956 | 0.0448          | 0.9731   |
| 0.043         | 41.02 | 13272 | 0.0450          | 0.9750   |
| 0.0695        | 42.02 | 13588 | 0.0448          | 0.9750   |
| 0.0398        | 43.02 | 13904 | 0.0440          | 0.9770   |
| 0.0455        | 44.02 | 14220 | 0.0436          | 0.9770   |
| 0.0423        | 45.02 | 14536 | 0.0437          | 0.9750   |
| 0.0602        | 46.02 | 14852 | 0.0438          | 0.9770   |
| 0.0407        | 47.02 | 15168 | 0.0437          | 0.9750   |
| 0.0435        | 48.02 | 15484 | 0.0435          | 0.9770   |
| 0.0463        | 49.02 | 15800 | 0.0436          | 0.9770   |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1