readme: ---
  license: bigscience-bloom-rail-1.0
  tags:
  - generated_from_trainer
  datasets:
  - pszemraj/riddlesense_plusplus
  metrics:
  - accuracy
  model-index:
  - name: bloom-better-riddles
    results:
    - task:
        name: Causal Language Modeling
        type: text-generation
      dataset:
        name: pszemraj/riddlesense_plusplus
        type: pszemraj/riddlesense_plusplus
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.6594206731193033
  parameters:
    min_length: 16
    max_length: 96
    no_repeat_ngram_size: 1
    do_sample: True
  pipeline_tag:
    text-generation
  ---
  
  <!-- 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-better-riddles
  
  This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the pszemraj/riddlesense_plusplus dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.8107
  - Accuracy: 0.6594
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_ratio: 0.01
  - num_epochs: 10.0
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  