readme: ---
  license: other
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: 6.7b-dalio-principles-book-1-epoch-1-gas-6e-6-lr
    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-dalio-principles-book-1-epoch-1-gas-6e-6-lr
  
  This model is a fine-tuned version of [facebook/opt-6.7b](https://huggingface.co/facebook/opt-6.7b) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4121
  - Accuracy: 0.3487
  
  ## 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: 6e-06
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - distributed_type: multi-GPU
  - num_devices: 8
  - total_train_batch_size: 32
  - total_eval_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: constant
  - num_epochs: 1.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.4875        | 0.11  | 1    | 2.5059          | 0.3397   |
  | 2.5339        | 0.22  | 2    | 2.5059          | 0.3397   |
  | 2.5161        | 0.33  | 3    | 2.5059          | 0.3397   |
  | 2.4524        | 0.44  | 4    | 2.5059          | 0.3397   |
  | 2.554         | 0.56  | 5    | 2.4785          | 0.3416   |
  | 2.4678        | 0.67  | 6    | 2.4785          | 0.3416   |
  | 2.4836        | 0.78  | 7    | 2.4473          | 0.3458   |
  | 2.4138        | 0.89  | 8    | 2.4297          | 0.3473   |
  | 2.4551        | 1.0   | 9    | 2.4121          | 0.3487   |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  