---
license: cc-by-nc-4.0
base_model: sangdeptraivcl/videomae-large-finetuned-ucf101-subset-finetuned-ucf101-subset
tags:
- generated_from_trainer
model-index:
- name: videomae-large-finetuned-ucf101-subset-finetuned-ucf101-subset-finetuned-ucf101-subset
  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-large-finetuned-ucf101-subset-finetuned-ucf101-subset-finetuned-ucf101-subset

This model is a fine-tuned version of [sangdeptraivcl/videomae-large-finetuned-ucf101-subset-finetuned-ucf101-subset](https://huggingface.co./sangdeptraivcl/videomae-large-finetuned-ucf101-subset-finetuned-ucf101-subset) on an unknown dataset.

## 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: 2
- eval_batch_size: 2
- 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: 766
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2