---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-crema-d8
  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-crema-d8

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: 0.7377
- Accuracy: 0.7644

## 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: 5952

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3492        | 0.13  | 745  | 1.3353          | 0.5127   |
| 0.9541        | 1.13  | 1490 | 0.9004          | 0.6849   |
| 0.7073        | 2.13  | 2235 | 0.7946          | 0.7236   |
| 0.8417        | 3.13  | 2980 | 0.8516          | 0.6876   |
| 0.3899        | 4.13  | 3725 | 0.7319          | 0.7450   |
| 0.3669        | 5.13  | 4470 | 0.7200          | 0.7490   |
| 0.5429        | 6.13  | 5215 | 0.6304          | 0.7864   |
| 0.2831        | 7.12  | 5952 | 0.6373          | 0.7931   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2