readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - AlekseyKorshuk/dalio-handwritten-io
  metrics:
  - accuracy
  model-index:
  - name: 1.3b-handwritten-v1-after-book
    results:
    - task:
        name: Causal Language Modeling
        type: text-generation
      dataset:
        name: AlekseyKorshuk/dalio-handwritten-io
        type: AlekseyKorshuk/dalio-handwritten-io
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.06691769057999736
  ---
  
  <!-- 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-handwritten-v1-after-book
  
  This model is a fine-tuned version of [/models/1.3b-dalio-principles-book](https://huggingface.co//models/1.3b-dalio-principles-book) on the AlekseyKorshuk/dalio-handwritten-io dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.0566
  - Accuracy: 0.0669
  
  ## 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-05
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - distributed_type: multi-GPU
  - num_devices: 8
  - total_train_batch_size: 32
  - total_eval_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - num_epochs: 3.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.3721        | 0.2   | 1    | 2.2148          | 0.0641   |
  | 2.241         | 0.4   | 2    | 2.2148          | 0.0641   |
  | 2.469         | 0.6   | 3    | 2.1348          | 0.0653   |
  | 2.3735        | 0.8   | 4    | 2.1309          | 0.0648   |
  | 2.2755        | 1.0   | 5    | 2.1133          | 0.0652   |
  | 2.0428        | 1.2   | 6    | 2.0938          | 0.0659   |
  | 1.764         | 1.4   | 7    | 2.0781          | 0.0659   |
  | 1.7458        | 1.6   | 8    | 2.0781          | 0.0661   |
  | 1.868         | 1.8   | 9    | 2.0820          | 0.0660   |
  | 1.9548        | 2.0   | 10   | 2.0703          | 0.0663   |
  | 1.6772        | 2.2   | 11   | 2.0605          | 0.0665   |
  | 1.3997        | 2.4   | 12   | 2.0566          | 0.0668   |
  | 1.3717        | 2.6   | 13   | 2.0547          | 0.0669   |
  | 1.5284        | 2.8   | 14   | 2.0547          | 0.0667   |
  | 1.2264        | 3.0   | 15   | 2.0566          | 0.0669   |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  