---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-finetuned_41
  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-finetuned_41

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: 7.9297
- Accuracy: 0.3317

## 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: 0.2
- training_steps: 61640

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5175        | 0.05  | 3083  | 4.6977          | 0.3008   |
| 0.5311        | 1.05  | 6166  | 5.6012          | 0.3081   |
| 0.5884        | 2.05  | 9249  | 6.2252          | 0.3175   |
| 0.5206        | 3.05  | 12332 | 6.7917          | 0.3248   |
| 0.4449        | 4.05  | 15415 | 6.1943          | 0.3008   |
| 0.3783        | 5.05  | 18498 | 6.8339          | 0.3150   |
| 0.5032        | 6.05  | 21581 | 6.6566          | 0.3077   |
| 0.4091        | 7.05  | 24664 | 6.8013          | 0.2972   |
| 0.4436        | 8.05  | 27747 | 6.8549          | 0.3      |
| 0.3474        | 9.05  | 30830 | 7.0015          | 0.3268   |
| 0.2151        | 10.05 | 33913 | 7.7671          | 0.3041   |
| 0.3597        | 11.05 | 36996 | 7.0724          | 0.3293   |
| 0.1673        | 12.05 | 40079 | 7.5805          | 0.3248   |
| 0.114         | 13.05 | 43162 | 7.8196          | 0.3175   |
| 0.2088        | 14.05 | 46245 | 7.7103          | 0.3272   |
| 0.1662        | 15.05 | 49328 | 7.7613          | 0.3248   |
| 0.1961        | 16.05 | 52411 | 7.7730          | 0.3297   |
| 0.1436        | 17.05 | 55494 | 7.9297          | 0.3317   |
| 0.1134        | 18.05 | 58577 | 8.0447          | 0.3268   |
| 0.0634        | 19.05 | 61640 | 7.9717          | 0.3305   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2