readme: ---
  license: openrail
  tags:
  - generated_from_trainer
  model-index:
  - name: santacoder-finetuned-the-stack-bash-3
    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. -->
  
  # santacoder-finetuned-the-stack-bash-3
  
  This model is a fine-tuned version of [bigcode/santacoder](https://huggingface.co/bigcode/santacoder) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: nan
  
  ## 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: 5e-05
  - train_batch_size: 1
  - eval_batch_size: 1
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 4
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_steps: 100
  - training_steps: 5000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.0           | 0.1   | 500  | nan             |
  | 0.0           | 0.2   | 1000 | nan             |
  | 0.0           | 0.3   | 1500 | nan             |
  | 0.0           | 0.4   | 2000 | nan             |
  | 0.0           | 0.5   | 2500 | nan             |
  | 0.0           | 0.6   | 3000 | nan             |
  | 0.0           | 0.7   | 3500 | nan             |
  | 0.0           | 0.8   | 4000 | nan             |
  | 0.0           | 0.9   | 4500 | nan             |
  | 0.0           | 1.0   | 5000 | nan             |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  