readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: prompt-extend
    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. -->
  
  # prompt-extend
  
  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: 2.1502
  
  ## 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: 0.0001
  - train_batch_size: 32
  - eval_batch_size: 64
  - 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_ratio: 0.1
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 6.3823        | 0.35  | 100  | 4.2083          |
  | 3.72          | 0.69  | 200  | 3.2991          |
  | 3.1185        | 1.04  | 300  | 2.8394          |
  | 2.7284        | 1.39  | 400  | 2.5546          |
  | 2.4932        | 1.74  | 500  | 2.3679          |
  | 2.3408        | 2.08  | 600  | 2.2430          |
  | 2.1997        | 2.43  | 700  | 2.1748          |
  | 2.1631        | 2.78  | 800  | 2.1502          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  