readme: ---
  license: other
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: 1.3b-dalio-principles-book
    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. -->
  
  # 1.3b-dalio-principles-book
  
  This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4512
  - Accuracy: 0.4741
  
  ## 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: 7e-05
  - train_batch_size: 1
  - eval_batch_size: 1
  - seed: 42
  - distributed_type: multi-GPU
  - num_devices: 8
  - total_train_batch_size: 8
  - total_eval_batch_size: 8
  - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.6914        | 0.14  | 1    | 2.6895          | 0.4477   |
  | 2.6897        | 0.29  | 2    | 2.6895          | 0.4477   |
  | 2.668         | 0.43  | 3    | 2.7031          | 0.4403   |
  | 2.7434        | 0.57  | 4    | 2.5918          | 0.4533   |
  | 2.6265        | 0.71  | 5    | 2.5410          | 0.4618   |
  | 2.5259        | 0.86  | 6    | 2.5156          | 0.4641   |
  | 2.5566        | 1.0   | 7    | 2.4902          | 0.4667   |
  | 2.2317        | 1.14  | 8    | 2.4766          | 0.4707   |
  | 2.2397        | 1.29  | 9    | 2.4727          | 0.4705   |
  | 2.0162        | 1.43  | 10   | 2.4766          | 0.4690   |
  | 2.0537        | 1.57  | 11   | 2.4805          | 0.4707   |
  | 2.1432        | 1.71  | 12   | 2.4707          | 0.4714   |
  | 2.0822        | 1.86  | 13   | 2.4570          | 0.4724   |
  | 1.9056        | 2.0   | 14   | 2.4512          | 0.4741   |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  