---
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_new
  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-base-finetuned-ucf101-subset_new

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: 0.2017
- Accuracy: 0.9419

## 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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 296

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 2.3017        | 0.1284 | 38   | 2.2057          | 0.1143   |
| 1.7529        | 1.1284 | 76   | 1.5770          | 0.4571   |
| 0.738         | 2.1284 | 114  | 0.7969          | 0.7571   |
| 0.4054        | 3.1284 | 152  | 0.4407          | 0.8143   |
| 0.1165        | 4.1284 | 190  | 0.3495          | 0.8429   |
| 0.1328        | 5.1284 | 228  | 0.1444          | 0.9571   |
| 0.0875        | 6.1284 | 266  | 0.0864          | 0.9857   |
| 0.0347        | 7.1014 | 296  | 0.0651          | 0.9857   |


### Framework versions

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