readme: ---
  license: bigscience-bloom-rail-1.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bloom-560m-finetuned-unnatural-instructions
    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. -->
  
  # bloom-560m-finetuned-unnatural-instructions
  
  This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7021
  
  ## 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: 1
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.6937        | 0.32  | 1000  | 1.6739          |
  | 1.5527        | 0.63  | 2000  | 1.5767          |
  | 1.5305        | 0.95  | 3000  | 1.5221          |
  | 1.1514        | 1.26  | 4000  | 1.5201          |
  | 1.1564        | 1.58  | 5000  | 1.5042          |
  | 1.1365        | 1.89  | 6000  | 1.4799          |
  | 0.7729        | 2.21  | 7000  | 1.6496          |
  | 0.7713        | 2.52  | 8000  | 1.5909          |
  | 0.8063        | 2.84  | 9000  | 1.6073          |
  | 0.4753        | 3.15  | 10000 | 1.9611          |
  | 0.4719        | 3.47  | 11000 | 2.0177          |
  | 0.4732        | 3.79  | 12000 | 2.0341          |
  | 0.2747        | 4.1   | 13000 | 2.5669          |
  | 0.2582        | 4.42  | 14000 | 2.6801          |
  | 0.2751        | 4.73  | 15000 | 2.6907          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  