readme: ---
  license: other
  tags:
  - generated_from_trainer
  datasets:
  - AlekseyKorshuk/dalio-book-handwritten-io-sorted-v2
  metrics:
  - accuracy
  model-index:
  - name: 6.7b-dalio-book-handwritten-io-constant-1e-6-v2
    results:
    - task:
        name: Causal Language Modeling
        type: text-generation
      dataset:
        name: AlekseyKorshuk/dalio-book-handwritten-io-sorted-v2
        type: AlekseyKorshuk/dalio-book-handwritten-io-sorted-v2
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.27929113140380746
  ---
  
  <!-- 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-1e-6-v2
  
  This model is a fine-tuned version of [facebook/opt-6.7b](https://huggingface.co/facebook/opt-6.7b) on the AlekseyKorshuk/dalio-book-handwritten-io-sorted-v2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4238
  - Accuracy: 0.2793
  
  ## 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: 1e-06
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.5852        | 0.08  | 6    | 2.5957          | 0.2697   |
  | 2.5956        | 0.16  | 12   | 2.5762          | 0.2706   |
  | 2.5961        | 0.24  | 18   | 2.5547          | 0.2711   |
  | 2.5731        | 0.32  | 24   | 2.5312          | 0.2722   |
  | 2.5415        | 0.4   | 30   | 2.5117          | 0.2734   |
  | 2.5168        | 0.48  | 36   | 2.4961          | 0.2746   |
  | 2.4972        | 0.56  | 42   | 2.4824          | 0.2756   |
  | 2.4354        | 0.64  | 48   | 2.4727          | 0.2761   |
  | 2.4055        | 0.72  | 54   | 2.4609          | 0.2768   |
  | 2.4681        | 0.8   | 60   | 2.4492          | 0.2778   |
  | 2.5866        | 0.88  | 66   | 2.4355          | 0.2784   |
  | 2.4221        | 0.96  | 72   | 2.4238          | 0.2793   |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  