readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - AlekseyKorshuk/dalio-synthetic-io
  metrics:
  - accuracy
  model-index:
  - name: 1.3b-synthetic-v1-after-book
    results:
    - task:
        name: Causal Language Modeling
        type: text-generation
      dataset:
        name: AlekseyKorshuk/dalio-synthetic-io
        type: AlekseyKorshuk/dalio-synthetic-io
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.07541139670882632
  ---
  
  <!-- 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-synthetic-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-synthetic-io dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.9805
  - Accuracy: 0.0754
  
  ## 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: 1.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.0841        | 0.1   | 1    | 2.0254          | 0.0759   |
  | 2.062         | 0.2   | 2    | 2.0254          | 0.0759   |
  | 2.1509        | 0.3   | 3    | 1.9941          | 0.0761   |
  | 2.1206        | 0.4   | 4    | 1.9941          | 0.0756   |
  | 2.2087        | 0.5   | 5    | 1.9941          | 0.0757   |
  | 2.0337        | 0.6   | 6    | 1.9902          | 0.0755   |
  | 2.026         | 0.7   | 7    | 1.9854          | 0.0755   |
  | 2.1879        | 0.8   | 8    | 1.9834          | 0.0756   |
  | 2.1052        | 0.9   | 9    | 1.9824          | 0.0754   |
  | 2.046         | 1.0   | 10   | 1.9805          | 0.0754   |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  