transformers safetensors videomae video-classification generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-fighting-subset-5ep-5ep3bs-1ep3bs-5ep3bs
  results: []
---

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# videomae-base-finetuned-fighting-subset-5ep-5ep3bs-1ep3bs-5ep3bs

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9753
- Accuracy: 0.8074

## 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: 3
- eval_batch_size: 3
- 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: 205

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4459        | 0.2   | 42   | 0.3293          | 0.8741   |
| 0.1782        | 1.2   | 84   | 0.5842          | 0.8667   |
| 0.1663        | 2.2   | 126  | 0.0967          | 0.9778   |
| 0.4003        | 3.2   | 168  | 1.3731          | 0.7333   |
| 0.1477        | 4.18  | 205  | 0.9753          | 0.8074   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2
