---
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-lift-data-resize
  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-lift-data-resize

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: 0.7916
- Accuracy: 0.7972

## 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: 16
- eval_batch_size: 16
- 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: 76

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.6087        | 0.1316 | 10   | 1.8483          | 0.2597   |
| 1.3273        | 1.1316 | 20   | 1.4452          | 0.2983   |
| 1.2351        | 2.1316 | 30   | 1.5890          | 0.2799   |
| 1.1635        | 3.1316 | 40   | 1.3830          | 0.2910   |
| 1.0374        | 4.1316 | 50   | 1.3682          | 0.3002   |
| 0.9699        | 5.1316 | 60   | 1.2128          | 0.5322   |
| 0.8748        | 6.1316 | 70   | 1.0850          | 0.5562   |
| 0.8748        | 7.0789 | 76   | 1.0721          | 0.5599   |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.1.1+cu118
- Datasets 3.0.1
- Tokenizers 0.20.1