readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2-gpt2-TF-weight0.5-epoch5
    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. -->
  
  # gpt2-gpt2-TF-weight0.5-epoch5
  
  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.4047
  - Cls loss: 0.8943
  - Lm loss: 3.9573
  - Cls Accuracy: 0.8305
  - Cls F1: 0.8305
  - Cls Precision: 0.8305
  - Cls Recall: 0.8305
  - Perplexity: 52.31
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Cls loss | Lm loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Perplexity |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------:|:------------:|:------:|:-------------:|:----------:|:----------:|
  | 4.4891        | 1.0   | 3470  | 4.2525          | 0.4695   | 4.0177  | 0.8046       | 0.8023 | 0.8093        | 0.8046     | 55.57      |
  | 4.2708        | 2.0   | 6940  | 4.2621          | 0.5568   | 3.9835  | 0.8398       | 0.8383 | 0.8438        | 0.8398     | 53.71      |
  | 4.1614        | 3.0   | 10410 | 4.2509          | 0.5637   | 3.9689  | 0.8444       | 0.8443 | 0.8443        | 0.8444     | 52.93      |
  | 4.0683        | 4.0   | 13880 | 4.3454          | 0.7723   | 3.9591  | 0.8282       | 0.8281 | 0.8281        | 0.8282     | 52.41      |
  | 4.0036        | 5.0   | 17350 | 4.4047          | 0.8943   | 3.9573  | 0.8305       | 0.8305 | 0.8305        | 0.8305     | 52.31      |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1
  - Datasets 2.4.0
  - Tokenizers 0.12.1