readme: ---
  license: other
  tags:
  - generated_from_trainer
  datasets:
  - AlekseyKorshuk/amazon-reviews-input-output
  metrics:
  - accuracy
  model-index:
  - name: amazon-reviews-input-output-1.3b
    results:
    - task:
        name: Causal Language Modeling
        type: text-generation
      dataset:
        name: AlekseyKorshuk/amazon-reviews-input-output
        type: AlekseyKorshuk/amazon-reviews-input-output
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.03550813008130081
  ---
  
  <!-- 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. -->
  
  # amazon-reviews-input-output-1.3b
  
  This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the AlekseyKorshuk/amazon-reviews-input-output dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.5488
  - Accuracy: 0.0355
  - Samples: 100
  - Perplexity: 34.7725
  - Table: <wandb.data_types.Table object at 0x7ffa3c3fd700>
  
  ## 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: 5e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - distributed_type: multi-GPU
  - num_devices: 8
  - total_train_batch_size: 64
  - total_eval_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 3.2024        | 0.06  | 1    | 2.9121          | 0.0385   |
  | 3.1226        | 0.12  | 2    | 2.9121          | 0.0385   |
  | 3.1321        | 0.19  | 3    | 2.8477          | 0.0394   |
  | 2.9875        | 0.25  | 4    | 2.8477          | 0.0394   |
  | 2.9717        | 0.31  | 5    | 2.8555          | 0.0391   |
  | 2.9341        | 0.38  | 6    | 2.8438          | 0.0392   |
  | 3.0376        | 0.44  | 7    | 2.8184          | 0.0396   |
  | 2.8164        | 0.5   | 8    | 2.7988          | 0.0395   |
  | 3.0857        | 0.56  | 9    | 2.7988          | 0.0394   |
  | 2.9492        | 0.62  | 10   | 2.7969          | 0.0395   |
  | 2.8633        | 0.69  | 11   | 2.7969          | 0.0395   |
  | 2.8994        | 0.75  | 12   | 2.7910          | 0.0398   |
  | 3.0024        | 0.81  | 13   | 2.7812          | 0.0401   |
  | 2.937         | 0.88  | 14   | 2.7812          | 0.0399   |
  | 2.9963        | 0.94  | 15   | 2.7812          | 0.0399   |
  | 3.0168        | 1.0   | 16   | 2.7754          | 0.04     |
  | 2.2589        | 1.06  | 17   | 2.7715          | 0.0397   |
  | 2.2568        | 1.12  | 18   | 2.7793          | 0.0395   |
  | 2.3138        | 1.19  | 19   | 2.8027          | 0.0393   |
  | 2.2759        | 1.25  | 20   | 2.8184          | 0.0393   |
  | 2.5137        | 1.31  | 21   | 2.8262          | 0.0390   |
  | 2.2997        | 1.38  | 22   | 2.8320          | 0.0388   |
  | 2.2693        | 1.44  | 23   | 2.8359          | 0.0392   |
  | 2.204         | 1.5   | 24   | 2.8379          | 0.0387   |
  | 2.3713        | 1.56  | 25   | 2.8359          | 0.0391   |
  | 2.3448        | 1.62  | 26   | 2.8340          | 0.0391   |
  | 2.217         | 1.69  | 27   | 2.8359          | 0.0391   |
  | 2.3082        | 1.75  | 28   | 2.8379          | 0.0385   |
  | 2.2878        | 1.81  | 29   | 2.8379          | 0.0386   |
  | 2.2429        | 1.88  | 30   | 2.8379          | 0.0385   |
  | 2.2838        | 1.94  | 31   | 2.8359          | 0.0385   |
  | 2.4038        | 2.0   | 32   | 2.8379          | 0.0387   |
  | 1.8481        | 2.06  | 33   | 2.8555          | 0.0384   |
  | 1.657         | 2.12  | 34   | 2.8965          | 0.0382   |
  | 1.6996        | 2.19  | 35   | 2.9590          | 0.0380   |
  | 1.6741        | 2.25  | 36   | 3.0312          | 0.0379   |
  | 1.594         | 2.31  | 37   | 3.0410          | 0.0380   |
  | 1.5201        | 2.38  | 38   | 3.0156          | 0.0381   |
  | 1.5149        | 2.44  | 39   | 3.0137          | 0.0380   |
  | 1.5521        | 2.5   | 40   | 3.0176          | 0.0379   |
  | 1.5364        | 2.56  | 41   | 3.0273          | 0.0378   |
  | 1.5385        | 2.62  | 42   | 3.0391          | 0.0380   |
  | 1.4794        | 2.69  | 43   | 3.0488          | 0.0380   |
  | 1.4313        | 2.75  | 44   | 3.0527          | 0.0378   |
  | 1.5071        | 2.81  | 45   | 3.0469          | 0.0378   |
  | 1.4799        | 2.88  | 46   | 3.0449          | 0.0378   |
  | 1.521         | 2.94  | 47   | 3.0371          | 0.0380   |
  | 1.4603        | 3.0   | 48   | 3.0410          | 0.0379   |
  | 1.25          | 3.06  | 49   | 3.0859          | 0.0381   |
  | 1.0411        | 3.12  | 50   | 3.1797          | 0.0375   |
  | 1.0385        | 3.19  | 51   | 3.2969          | 0.0371   |
  | 1.0254        | 3.25  | 52   | 3.3613          | 0.0367   |
  | 0.9656        | 3