---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: videomae-surf-analytics-sans-wandb
  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-surf-analytics-sans-wandb

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: 0.5544
- Accuracy: 0.8852
- F1: 0.8840

## 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: 2
- eval_batch_size: 2
- 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: 1850

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 1.3096        | 0.2005 | 371  | 1.3267          | 0.4590   | 0.2888 |
| 1.0586        | 1.2005 | 742  | 1.2866          | 0.5820   | 0.5035 |
| 0.9781        | 2.2005 | 1113 | 0.7952          | 0.7459   | 0.7466 |
| 0.0034        | 3.2005 | 1484 | 0.7218          | 0.8361   | 0.8343 |
| 0.1895        | 4.1978 | 1850 | 0.5544          | 0.8852   | 0.8840 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.19.2
- Tokenizers 0.19.1