readme: ---
  license: bigscience-bloom-rail-1.0
  tags:
  - generated_from_trainer
  model-index:
  - name: BLOOM-350m-Beatles-Lyrics-finetuned-newlyrics
    results: []
  widget:
  - text: "Last night I couldn't sleep"
    example_title: "Sleep"  
  - text: "It hasn't rained in weeks"
    example_title: "Rain"      
  ---
  
  # BLOOM-350m-Beatles-Lyrics-finetuned-newlyrics
  
  This model is a fine-tuned version of [bigscience/bloom-350m](https://huggingface.co/bigscience/bloom-350m) on the [Cmotions - Beatles lyrics](https://huggingface.co/datasets/cmotions/Beatles_lyrics) dataset. It will complete an input prompt with Beatles-like text.
  
  ## 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: 1
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 100
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.1135        | 1.0   | 138  | 3.4852          |
  | 2.0717        | 2.0   | 276  | 3.8820          |
  | 1.3296        | 3.0   | 414  | 3.6281          |
  | 0.8146        | 4.0   | 552  | 3.8985          |
  | 0.477         | 5.0   | 690  | 4.0317          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  