readme: ---
  license: other
  tags:
  - generated_from_trainer
  datasets:
  - AlekseyKorshuk/dalio-book-handwritten-io-sorted
  metrics:
  - accuracy
  model-index:
  - name: 6.7b-dalio-book-handwritten-io-constant-3e-7
    results:
    - task:
        name: Causal Language Modeling
        type: text-generation
      dataset:
        name: AlekseyKorshuk/dalio-book-handwritten-io-sorted
        type: AlekseyKorshuk/dalio-book-handwritten-io-sorted
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.30175150519978106
  ---
  
  <!-- 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
  
  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 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4629
  - Accuracy: 0.3018
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.6398        | 0.11  | 6    | 2.5059          | 0.2987   |
  | 2.5823        | 0.21  | 12   | 2.5039          | 0.2988   |
  | 2.6128        | 0.32  | 18   | 2.4980          | 0.2991   |
  | 2.5775        | 0.43  | 24   | 2.4922          | 0.2995   |
  | 2.527         | 0.54  | 30   | 2.4863          | 0.2999   |
  | 2.5752        | 0.64  | 36   | 2.4805          | 0.3003   |
  | 2.5131        | 0.75  | 42   | 2.4746          | 0.3008   |
  | 2.4436        | 0.86  | 48   | 2.4688          | 0.3014   |
  | 2.5114        | 0.96  | 54   | 2.4629          | 0.3018   |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  