readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - xlcost-text-to-code
  model-index:
  - name: flan-t5-xl-codeparrot-xlcost-text-to-code
    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. -->
  
  # flan-t5-xl-codeparrot-xlcost-text-to-code
  
  This model is a fine-tuned version of [epinnock/flan-t5-xl-codeparrot-xlcost-text-to-code](https://huggingface.co/epinnock/flan-t5-xl-codeparrot-xlcost-text-to-code) on the xlcost-text-to-code dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 1.9876
  - eval_rouge1: 43.1227
  - eval_rouge2: 25.6539
  - eval_rougeL: 41.8635
  - eval_rougeLsum: 41.8883
  - eval_gen_len: 9.0445
  - eval_runtime: 1137.2469
  - eval_samples_per_second: 7.17
  - eval_steps_per_second: 0.897
  - step: 0
  
  ## 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: 3e-05
  - train_batch_size: 6
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 24
  - total_train_batch_size: 144
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.12.0+cu116
  - Datasets 2.9.0
  - Tokenizers 0.12.1
  