---
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-right-hand-conflab-v3
  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-right-hand-conflab-v3

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: 1.3489
- Accuracy: 0.5813

## 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: 936

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.9096        | 0.1261 | 118  | 1.6888          | 0.3333   |
| 1.628         | 1.1261 | 236  | 1.6285          | 0.4118   |
| 1.3656        | 2.1261 | 354  | 1.3947          | 0.5147   |
| 1.1498        | 3.1261 | 472  | 1.2639          | 0.5735   |
| 0.6546        | 4.1261 | 590  | 1.2054          | 0.5882   |
| 0.4812        | 5.1261 | 708  | 1.2695          | 0.5490   |
| 0.4631        | 6.1261 | 826  | 1.2095          | 0.6078   |
| 0.2311        | 7.1175 | 936  | 1.1960          | 0.5980   |


### Framework versions

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