---
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-runpod4
  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-runpod4

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: 0.7259
- Accuracy: 0.9016
- F1: 0.9021

## 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: 2760

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
| 1.2463        | 0.0337  | 93   | 1.2389          | 0.4344   | 0.2949 |
| 1.024         | 1.0337  | 186  | 1.0343          | 0.5492   | 0.5254 |
| 0.6932        | 2.0337  | 279  | 0.8280          | 0.6639   | 0.6360 |
| 0.4467        | 3.0337  | 372  | 0.7665          | 0.7459   | 0.7338 |
| 0.4449        | 4.0337  | 465  | 0.8715          | 0.7131   | 0.6741 |
| 0.1371        | 5.0337  | 558  | 1.0560          | 0.7295   | 0.7158 |
| 0.1789        | 6.0337  | 651  | 0.8218          | 0.7869   | 0.7877 |
| 0.2125        | 7.0337  | 744  | 0.7612          | 0.7869   | 0.7812 |
| 0.1561        | 8.0337  | 837  | 0.6051          | 0.8525   | 0.8498 |
| 0.2297        | 9.0337  | 930  | 0.6321          | 0.8770   | 0.8766 |
| 0.0692        | 10.0337 | 1023 | 0.7128          | 0.8443   | 0.8455 |
| 0.0495        | 11.0337 | 1116 | 0.7738          | 0.8361   | 0.8353 |
| 0.1059        | 12.0337 | 1209 | 0.6213          | 0.8525   | 0.8524 |
| 0.1672        | 13.0337 | 1302 | 0.7888          | 0.8443   | 0.8409 |
| 0.0178        | 14.0337 | 1395 | 0.6488          | 0.8689   | 0.8658 |
| 0.0165        | 15.0337 | 1488 | 0.6845          | 0.8770   | 0.8773 |
| 0.0166        | 16.0337 | 1581 | 0.8649          | 0.8525   | 0.8445 |
| 0.0014        | 17.0337 | 1674 | 0.7866          | 0.8525   | 0.8516 |
| 0.0473        | 18.0337 | 1767 | 0.6390          | 0.8770   | 0.8776 |
| 0.0441        | 19.0337 | 1860 | 0.8235          | 0.8361   | 0.8342 |
| 0.0006        | 20.0337 | 1953 | 0.6014          | 0.8852   | 0.8856 |
| 0.0005        | 21.0337 | 2046 | 0.7581          | 0.8689   | 0.8672 |
| 0.0032        | 22.0337 | 2139 | 0.6454          | 0.8770   | 0.8772 |
| 0.0565        | 23.0337 | 2232 | 0.8096          | 0.8525   | 0.8542 |
| 0.011         | 24.0337 | 2325 | 0.6807          | 0.8852   | 0.8858 |
| 0.0146        | 25.0337 | 2418 | 0.7754          | 0.8689   | 0.8696 |
| 0.0004        | 26.0337 | 2511 | 0.7246          | 0.8852   | 0.8857 |
| 0.0004        | 27.0337 | 2604 | 0.7165          | 0.8934   | 0.8942 |
| 0.0003        | 28.0337 | 2697 | 0.7232          | 0.9016   | 0.9021 |
| 0.0177        | 29.0228 | 2760 | 0.7259          | 0.9016   | 0.9021 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1