readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilgpt2-finetuned-AT
    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-finetuned-AT
  
  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: 3.2450
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 279  | 3.3451          |
  | 3.4534        | 2.0   | 558  | 3.2941          |
  | 3.4534        | 3.0   | 837  | 3.2740          |
  | 3.2435        | 4.0   | 1116 | 3.2617          |
  | 3.2435        | 5.0   | 1395 | 3.2556          |
  | 3.1729        | 6.0   | 1674 | 3.2490          |
  | 3.1729        | 7.0   | 1953 | 3.2475          |
  | 3.1262        | 8.0   | 2232 | 3.2467          |
  | 3.0972        | 9.0   | 2511 | 3.2448          |
  | 3.0972        | 10.0  | 2790 | 3.2450          |
  
  
  ### Framework versions
  
  - Transformers 4.13.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  