readme: ---
  license: other
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: 6.7b-dalio-book-handwritten-io-constant-3e-7-v2
    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-book-handwritten-io-constant-3e-7-v2
  
  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: 2.5293
  - Accuracy: 0.2725
  
  ## 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-07
  - 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=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: constant
  - num_epochs: 1.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.5856        | 0.08  | 6    | 2.5957          | 0.2697   |
  | 2.6027        | 0.16  | 12   | 2.5938          | 0.2698   |
  | 2.619         | 0.24  | 18   | 2.5879          | 0.2700   |
  | 2.6121        | 0.32  | 24   | 2.5840          | 0.2702   |
  | 2.6024        | 0.4   | 30   | 2.5762          | 0.2706   |
  | 2.5878        | 0.48  | 36   | 2.5703          | 0.2707   |
  | 2.5541        | 0.56  | 42   | 2.5625          | 0.2710   |
  | 2.5207        | 0.64  | 48   | 2.5566          | 0.2713   |
  | 2.4577        | 0.72  | 54   | 2.5488          | 0.2715   |
  | 2.5614        | 0.8   | 60   | 2.5430          | 0.2718   |
  | 2.6959        | 0.88  | 66   | 2.5352          | 0.2722   |
  | 2.5084        | 0.96  | 72   | 2.5293          | 0.2725   |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.12.1
  