readme: ---
  license: other
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: 6.7b-ri-reproduce-combined-4-gpu-20-val-v2
    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-ri-reproduce-combined-4-gpu-20-val-v2
  
  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: 3.9434
  - Accuracy: 0.0329
  - Perplexity: 51.5916
  
  ## 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: 9e-07
  - train_batch_size: 1
  - eval_batch_size: 8
  - seed: 100
  - distributed_type: multi-GPU
  - num_devices: 4
  - total_train_batch_size: 4
  - total_eval_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: constant
  - num_epochs: 15.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Perplexity |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----------:|
  | 2.5731        | 1.0   | 79   | 2.6113          | 0.0317   | 13.6171    |
  | 2.206         | 2.0   | 158  | 2.4805          | 0.0328   | 11.9469    |
  | 1.9105        | 3.0   | 237  | 2.4512          | 0.0333   | 11.6019    |
  | 1.6301        | 4.0   | 316  | 2.5078          | 0.0345   | 12.2780    |
  | 1.3733        | 5.0   | 395  | 2.6816          | 0.0342   | 14.6090    |
  | 1.1337        | 6.0   | 474  | 3.0078          | 0.0330   | 20.2431    |
  | 0.9619        | 7.0   | 553  | 3.1777          | 0.0330   | 23.9923    |
  | 0.798         | 8.0   | 632  | 3.2559          | 0.0330   | 25.9419    |
  | 0.6653        | 9.0   | 711  | 3.4277          | 0.0331   | 30.8068    |
  | 0.552         | 10.0  | 790  | 3.5566          | 0.0333   | 35.0453    |
  | 0.4568        | 11.0  | 869  | 3.7324          | 0.0324   | 41.7802    |
  | 0.3756        | 12.0  | 948  | 3.8184          | 0.0328   | 45.5295    |
  | 0.3119        | 13.0  | 1027 | 3.8477          | 0.0331   | 46.8831    |
  | 0.2448        | 14.0  | 1106 | 3.9062          | 0.0329   | 49.7122    |
  | 0.1986        | 15.0  | 1185 | 3.9434          | 0.0329   | 51.5916    |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  