readme: ---
  license: bigscience-bloom-rail-1.0
  tags:
  - generated_from_trainer
  datasets:
  - squad_v2
  model-index:
  - name: debug_bloom_squad
    results: []
  ---
  
  <!-- This model card has mostly been generated automatically according to the information the Trainer had access to. I've added some additional context. -->
  
  # POC - BLOOM for QuestionAnswering, tuned on squad_v2
  
  This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the squad_v2 dataset.
  It is intended for a proof of concept, and perhaps to serve as a starting point for others trying to do the same thing.
  
  Ongoing discussion surrounding this effort:
  
  https://huggingface.co/bigscience/bloom/discussions/46#633c57b2ccce04161f82e6c2 
  
  ## 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: 6
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.24.0.dev0
  - Pytorch 1.12.1+cu102
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  