readme: ---
  license: other
  tags:
  - generated_from_trainer
  datasets:
  - ChaiML/dalio_training_v1
  model-index:
  - name: 6.7b-ri-reproduce-4-gpu
    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. -->
  
  # 6.7b-ri-reproduce-4-gpu
  
  This model is a fine-tuned version of [facebook/opt-6.7b](https://huggingface.co/facebook/opt-6.7b) on the ChaiML/dalio_training_v1 dataset.
  
  ## 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: 9e-07
  - train_batch_size: 1
  - eval_batch_size: 8
  - seed: 100
  - distributed_type: multi-GPU
  - num_devices: 4
  - total_train_batch_size: 4
  - total_eval_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: constant
  - num_epochs: 10.0
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  