readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: GPT2_3head_3layer_URL_fullDS
    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_3head_3layer_URL_fullDS
  
  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5822
  
  ## 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: 0.0005
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 256
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 1
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.6627        | 0.05  | 5000  | 2.1507          |
  | 2.135         | 0.1   | 10000 | 2.0032          |
  | 2.0378        | 0.15  | 15000 | 1.9287          |
  | 1.9804        | 0.2   | 20000 | 1.8809          |
  | 1.942         | 0.25  | 25000 | 1.8419          |
  | 1.913         | 0.3   | 30000 | 1.8160          |
  | 1.8877        | 0.35  | 35000 | 1.7903          |
  | 1.8669        | 0.4   | 40000 | 1.7688          |
  | 1.843         | 0.45  | 45000 | 1.7471          |
  | 1.8185        | 0.5   | 50000 | 1.7236          |
  | 1.7979        | 0.55  | 55000 | 1.7016          |
  | 1.7766        | 0.6   | 60000 | 1.6796          |
  | 1.7543        | 0.65  | 65000 | 1.6593          |
  | 1.7366        | 0.7   | 70000 | 1.6388          |
  | 1.7142        | 0.75  | 75000 | 1.6208          |
  | 1.6998        | 0.8   | 80000 | 1.6063          |
  | 1.6866        | 0.85  | 85000 | 1.5939          |
  | 1.6743        | 0.9   | 90000 | 1.5855          |
  | 1.6683        | 0.95  | 95000 | 1.5822          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.9.0+cu111
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  