transformers tensorboard safetensors videomae video-classification generated_from_trainer base_model:MCG-NJU/videomae-base license:cc-by-nc-4.0 endpoints_compatible region:us
---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-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-ucf101-subset

This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1481
- Accuracy: 0.7289

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 41810

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.1462        | 0.1   | 4179  | 1.3338          | 0.5927   |
| 0.7751        | 1.1   | 8358  | 1.2363          | 0.6652   |
| 0.5263        | 2.1   | 12537 | 1.1332          | 0.6941   |
| 1.0056        | 3.1   | 16716 | 1.1360          | 0.7124   |
| 0.5869        | 4.1   | 20895 | 1.0600          | 0.7142   |
| 0.3019        | 5.1   | 25074 | 1.1134          | 0.7068   |
| 0.2404        | 6.1   | 29253 | 1.1350          | 0.7281   |
| 0.2972        | 7.1   | 33432 | 1.2145          | 0.7233   |
| 0.1652        | 8.1   | 37611 | 1.1481          | 0.7289   |
| 0.149         | 9.1   | 41790 | 1.2245          | 0.7276   |
| 0.0054        | 10.0  | 41810 | 1.2245          | 0.7274   |


### Framework versions

- Transformers 4.36.2
- Pytorch 1.12.0+cu102
- Datasets 2.16.1
- Tokenizers 0.15.0
