---
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-cart-activity-v1
  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-cart-activity-v1

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: 0.2897
- Accuracy: 0.9002

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2544

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.5671        | 0.0625  | 159  | 0.6464          | 0.7371   |
| 0.3141        | 1.0625  | 318  | 0.4348          | 0.8403   |
| 0.3008        | 2.0625  | 477  | 0.4203          | 0.8436   |
| 0.3051        | 3.0625  | 636  | 0.3499          | 0.8735   |
| 0.2801        | 4.0625  | 795  | 0.3290          | 0.8719   |
| 0.3035        | 5.0625  | 954  | 0.7646          | 0.7787   |
| 0.3501        | 6.0625  | 1113 | 0.2899          | 0.9002   |
| 0.0959        | 7.0625  | 1272 | 0.2681          | 0.8968   |
| 0.2196        | 8.0625  | 1431 | 0.3333          | 0.8802   |
| 0.2609        | 9.0625  | 1590 | 0.3849          | 0.8769   |
| 0.1546        | 10.0625 | 1749 | 0.3787          | 0.8852   |
| 0.1834        | 11.0625 | 1908 | 0.4571          | 0.8835   |
| 0.2244        | 12.0625 | 2067 | 0.3221          | 0.8902   |
| 0.2318        | 13.0625 | 2226 | 0.4032          | 0.8819   |
| 0.2501        | 14.0625 | 2385 | 0.3339          | 0.8952   |
| 0.086         | 15.0625 | 2544 | 0.3323          | 0.8935   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0