---
license: cc-by-nc-4.0
base_model: dvs/videomae-base-finetuned-movienet
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-movienet-finetuned-movienet-more
  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-movienet-finetuned-movienet-more

This model is a fine-tuned version of [dvs/videomae-base-finetuned-movienet](https://huggingface.co/dvs/videomae-base-finetuned-movienet) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6822
- Accuracy: 0.7917

## 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: 1480

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4977        | 0.13  | 186  | 0.8210          | 0.7234   |
| 0.3974        | 1.13  | 372  | 0.6322          | 0.8085   |
| 0.1101        | 2.13  | 558  | 1.0522          | 0.75     |
| 0.1618        | 3.13  | 744  | 0.9185          | 0.7872   |
| 0.0052        | 4.13  | 930  | 0.8586          | 0.8085   |
| 0.0013        | 5.13  | 1116 | 1.0029          | 0.7926   |
| 0.0044        | 6.13  | 1302 | 1.0400          | 0.7872   |
| 0.0008        | 7.12  | 1480 | 1.0018          | 0.7979   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3