readme: ---
  license: cc-by-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: movie-roberta-base-finetuned-movie-p1
    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. -->
  
  # movie-roberta-base-finetuned-movie-p1
  
  This model is a fine-tuned version of [thatdramebaazguy/movie-roberta-base](https://huggingface.co/thatdramebaazguy/movie-roberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3949
  
  ## 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: 2e-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
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 7.7521        | 1.0   | 108  | 4.7594          |
  | 4.289         | 2.0   | 216  | 2.8672          |
  | 2.5416        | 3.0   | 324  | 1.3464          |
  | 1.2104        | 4.0   | 432  | 0.6174          |
  | 0.596         | 5.0   | 540  | 0.4700          |
  | 0.4817        | 6.0   | 648  | 0.4568          |
  | 0.4701        | 7.0   | 756  | 0.4418          |
  | 0.4308        | 8.0   | 864  | 0.4774          |
  | 0.4157        | 9.0   | 972  | 0.4426          |
  | 0.4256        | 10.0  | 1080 | 0.4752          |
  | 0.4186        | 11.0  | 1188 | 0.4686          |
  | 0.4141        | 12.0  | 1296 | 0.4242          |
  | 0.3786        | 13.0  | 1404 | 0.4166          |
  | 0.384         | 14.0  | 1512 | 0.4333          |
  | 0.3734        | 15.0  | 1620 | 0.4548          |
  | 0.3761        | 16.0  | 1728 | 0.3834          |
  | 0.3606        | 17.0  | 1836 | 0.3476          |
  | 0.3556        | 18.0  | 1944 | 0.4258          |
  | 0.3692        | 19.0  | 2052 | 0.3336          |
  | 0.3572        | 20.0  | 2160 | 0.4304          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  