readme: ---
  license: other
  tags:
  - generated_from_trainer
  datasets:
  - AlekseyKorshuk/dalio-all-io
  metrics:
  - accuracy
  model-index:
  - name: dalio-all-io-1.3b
    results:
    - task:
        name: Causal Language Modeling
        type: text-generation
      dataset:
        name: AlekseyKorshuk/dalio-all-io
        type: AlekseyKorshuk/dalio-all-io
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.05582538140677676
  ---
  
  <!-- 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. -->
  
  # dalio-all-io-1.3b
  
  This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the AlekseyKorshuk/dalio-all-io dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.3652
  - Accuracy: 0.0558
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - distributed_type: multi-GPU
  - num_devices: 8
  - total_train_batch_size: 16
  - total_eval_batch_size: 16
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.6543        | 0.03  | 1    | 2.6113          | 0.0513   |
  | 2.6077        | 0.07  | 2    | 2.6113          | 0.0513   |
  | 2.5964        | 0.1   | 3    | 2.5605          | 0.0519   |
  | 2.7302        | 0.14  | 4    | 2.5234          | 0.0527   |
  | 2.7           | 0.17  | 5    | 2.5078          | 0.0528   |
  | 2.5674        | 0.21  | 6    | 2.4941          | 0.0532   |
  | 2.6406        | 0.24  | 7    | 2.4883          | 0.0534   |
  | 2.5315        | 0.28  | 8    | 2.4805          | 0.0536   |
  | 2.7202        | 0.31  | 9    | 2.4727          | 0.0537   |
  | 2.5144        | 0.34  | 10   | 2.4648          | 0.0536   |
  | 2.4983        | 0.38  | 11   | 2.4512          | 0.0537   |
  | 2.7029        | 0.41  | 12   | 2.4414          | 0.0539   |
  | 2.5198        | 0.45  | 13   | 2.4336          | 0.0540   |
  | 2.5706        | 0.48  | 14   | 2.4258          | 0.0545   |
  | 2.5688        | 0.52  | 15   | 2.4180          | 0.0548   |
  | 2.3793        | 0.55  | 16   | 2.4102          | 0.0552   |
  | 2.4785        | 0.59  | 17   | 2.4043          | 0.0554   |
  | 2.4688        | 0.62  | 18   | 2.3984          | 0.0553   |
  | 2.5674        | 0.66  | 19   | 2.3984          | 0.0553   |
  | 2.5054        | 0.69  | 20   | 2.3945          | 0.0554   |
  | 2.452         | 0.72  | 21   | 2.3887          | 0.0555   |
  | 2.5999        | 0.76  | 22   | 2.3828          | 0.0556   |
  | 2.3665        | 0.79  | 23   | 2.3789          | 0.0556   |
  | 2.6223        | 0.83  | 24   | 2.375           | 0.0557   |
  | 2.3562        | 0.86  | 25   | 2.3711          | 0.0557   |
  | 2.429         | 0.9   | 26   | 2.3691          | 0.0557   |
  | 2.563         | 0.93  | 27   | 2.3672          | 0.0558   |
  | 2.4573        | 0.97  | 28   | 2.3652          | 0.0558   |
  | 2.4883        | 1.0   | 29   | 2.3652          | 0.0558   |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  