readme: ---
  license: other
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: 6.7b-dalio-book-handwritten-io-cosine-6e-6
    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-cosine-6e-6
  
  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: 2.0586
  - Accuracy: 0.3412
  
  ## 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: 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.6377        | 0.11  | 6    | 2.4688          | 0.3016   |
  | 2.5046        | 0.21  | 12   | 2.3848          | 0.3096   |
  | 2.4755        | 0.32  | 18   | 2.3223          | 0.3156   |
  | 2.459         | 0.43  | 24   | 2.2715          | 0.3201   |
  | 2.3602        | 0.54  | 30   | 2.2246          | 0.3243   |
  | 2.3829        | 0.64  | 36   | 2.1895          | 0.3275   |
  | 2.3188        | 0.75  | 42   | 2.1465          | 0.3315   |
  | 2.2895        | 0.86  | 48   | 2.1035          | 0.3365   |
  | 2.3062        | 0.96  | 54   | 2.0586          | 0.3412   |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.12.1
  