readme: ---
  license: cc-by-nc-4.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8
    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-short-finetuned-ssv2-finetuned-rwf2000-epochs8
  
  This model is a fine-tuned version of [MCG-NJU/videomae-base-short-finetuned-ssv2](https://huggingface.co/MCG-NJU/videomae-base-short-finetuned-ssv2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.3523
  - Accuracy: 0.5071
  
  ## 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: 6400
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.5905        | 0.12  | 800  | 0.6397          | 0.795    |
  | 0.8951        | 1.12  | 1600 | 1.4140          | 0.6575   |
  | 0.0121        | 2.12  | 2400 | 1.0683          | 0.7212   |
  | 0.0081        | 3.12  | 3200 | 1.4044          | 0.6625   |
  | 0.0531        | 4.12  | 4000 | 0.7906          | 0.8237   |
  | 0.0045        | 5.12  | 4800 | 1.1109          | 0.7612   |
  | 0.017         | 6.12  | 5600 | 1.8795          | 0.6462   |
  | 0.6752        | 7.12  | 6400 | 1.0282          | 0.79     |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu117
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  