readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt-expt-sp-v3-3-mixed
    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. -->
  
  # gpt-expt-sp-v3-3-mixed
  
  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: 0.0486
  
  ## 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: 300
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch  | Step  | Validation Loss |
  |:-------------:|:------:|:-----:|:---------------:|
  | 0.4472        | 27.62  | 5000  | 0.0555          |
  | 0.0593        | 55.25  | 10000 | 0.0511          |
  | 0.054         | 82.87  | 15000 | 0.0502          |
  | 0.0519        | 110.5  | 20000 | 0.0493          |
  | 0.0508        | 138.12 | 25000 | 0.0490          |
  | 0.05          | 165.74 | 30000 | 0.0488          |
  | 0.0495        | 193.37 | 35000 | 0.0487          |
  | 0.0492        | 220.99 | 40000 | 0.0486          |
  | 0.049         | 248.62 | 45000 | 0.0486          |
  | 0.0488        | 276.24 | 50000 | 0.0486          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu117
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  