---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-kinetics-finetuned-conflab-traj-direction-lh-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-finetuned-kinetics-finetuned-conflab-traj-direction-lh-v1

This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3609
- Accuracy: 0.6096

## 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: 728

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.6395        | 0.1442 | 105  | 1.6255          | 0.3723   |
| 1.4009        | 1.1442 | 210  | 1.4288          | 0.5053   |
| 1.0856        | 2.1442 | 315  | 1.2735          | 0.5745   |
| 0.6975        | 3.1442 | 420  | 1.2629          | 0.6064   |
| 0.3574        | 4.1442 | 525  | 1.2030          | 0.6170   |
| 0.1654        | 5.1442 | 630  | 1.2649          | 0.6436   |
| 0.1179        | 6.1346 | 728  | 1.2939          | 0.6330   |


### Framework versions

- Transformers 4.41.0
- Pytorch 1.12.0+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1