transformers tensorboard safetensors videomae video-classification generated_from_trainer base_model:MCG-NJU/videomae-base-finetuned-kinetics license:cc-by-nc-4.0 endpoints_compatible region:us
---
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-ucf101-subset
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# videomae-base-finetuned-kinetics-finetuned-ucf101-subset

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: 1.2309
- Accuracy: 0.9806

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 148

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2587        | 0.13  | 19   | 1.2644          | 1.0      |
| 0.6711        | 1.13  | 38   | 0.2098          | 1.0      |
| 0.1355        | 2.13  | 57   | 0.0465          | 1.0      |
| 0.0295        | 3.13  | 76   | 0.0431          | 0.9857   |
| 0.0155        | 4.13  | 95   | 0.0226          | 1.0      |
| 0.0175        | 5.13  | 114  | 0.0178          | 1.0      |
| 0.0168        | 6.13  | 133  | 0.0180          | 1.0      |
| 0.008         | 7.1   | 148  | 0.0184          | 1.0      |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.11.0
- Tokenizers 0.15.1
