readme: ---
  license: cc-by-nc-4.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-sample8
    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-sample8
  
  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: 3.2493
  - Accuracy: 0.3857
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.6783        | 0.12  | 800  | 0.5823          | 0.8175   |
  | 0.7397        | 1.12  | 1600 | 2.2365          | 0.5475   |
  | 0.206         | 2.12  | 2400 | 1.4244          | 0.6375   |
  | 0.0431        | 3.12  | 3200 | 0.9144          | 0.7525   |
  | 0.0033        | 4.12  | 4000 | 0.7622          | 0.825    |
  | 0.0011        | 5.12  | 4800 | 1.0658          | 0.775    |
  | 0.001         | 6.12  | 5600 | 1.6892          | 0.6875   |
  | 0.2392        | 7.12  | 6400 | 1.1574          | 0.7825   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu117
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  