---
base_model: MCG-NJU/videomae-base-finetuned-kinetics
license: cc-by-nc-4.0
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

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: 0.5180

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 350
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 35   | 0.7391          |
| No log        | 2.0   | 70   | 1.0082          |
| No log        | 3.0   | 105  | 0.5814          |
| No log        | 4.0   | 140  | 0.5457          |
| No log        | 5.0   | 175  | 0.8502          |
| No log        | 6.0   | 210  | 1.0301          |
| No log        | 7.0   | 245  | 1.7990          |
| No log        | 8.0   | 280  | 1.4917          |
| No log        | 9.0   | 315  | 1.2491          |
| No log        | 10.0  | 350  | 1.6353          |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1