readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2kit_30_full
    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. -->
  
  # gpt2kit_30_full
  
  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4313
  
  ## 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
  - distributed_type: multi-GPU
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 10   | 3.1822          |
  | No log        | 2.0   | 20   | 2.4642          |
  | No log        | 3.0   | 30   | 2.1652          |
  | No log        | 4.0   | 40   | 2.0160          |
  | No log        | 5.0   | 50   | 1.9149          |
  | No log        | 6.0   | 60   | 1.8388          |
  | No log        | 7.0   | 70   | 1.7793          |
  | No log        | 8.0   | 80   | 1.7282          |
  | No log        | 9.0   | 90   | 1.6850          |
  | No log        | 10.0  | 100  | 1.6501          |
  | No log        | 11.0  | 110  | 1.6215          |
  | No log        | 12.0  | 120  | 1.5943          |
  | No log        | 13.0  | 130  | 1.5780          |
  | No log        | 14.0  | 140  | 1.5573          |
  | No log        | 15.0  | 150  | 1.5417          |
  | No log        | 16.0  | 160  | 1.5227          |
  | No log        | 17.0  | 170  | 1.5106          |
  | No log        | 18.0  | 180  | 1.4948          |
  | No log        | 19.0  | 190  | 1.4818          |
  | No log        | 20.0  | 200  | 1.4692          |
  | No log        | 21.0  | 210  | 1.4602          |
  | No log        | 22.0  | 220  | 1.4516          |
  | No log        | 23.0  | 230  | 1.4497          |
  | No log        | 24.0  | 240  | 1.4488          |
  | No log        | 25.0  | 250  | 1.4437          |
  | No log        | 26.0  | 260  | 1.4385          |
  | No log        | 27.0  | 270  | 1.4363          |
  | No log        | 28.0  | 280  | 1.4338          |
  | No log        | 29.0  | 290  | 1.4316          |
  | No log        | 30.0  | 300  | 1.4313          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  