readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilgpt2-lotr
    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. -->
  
  # distilgpt2-lotr
  
  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.3901
  
  ## 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: 64
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 15
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 73   | 3.6392          |
  | No log        | 2.0   | 146  | 3.5466          |
  | No log        | 3.0   | 219  | 3.5038          |
  | No log        | 4.0   | 292  | 3.4761          |
  | No log        | 5.0   | 365  | 3.4546          |
  | No log        | 6.0   | 438  | 3.4379          |
  | 3.6024        | 7.0   | 511  | 3.4265          |
  | 3.6024        | 8.0   | 584  | 3.4160          |
  | 3.6024        | 9.0   | 657  | 3.4096          |
  | 3.6024        | 10.0  | 730  | 3.4025          |
  | 3.6024        | 11.0  | 803  | 3.3969          |
  | 3.6024        | 12.0  | 876  | 3.3933          |
  | 3.6024        | 13.0  | 949  | 3.3916          |
  | 3.4101        | 14.0  | 1022 | 3.3910          |
  | 3.4101        | 15.0  | 1095 | 3.3901          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  