readme: ---
  license: bigscience-bloom-rail-1.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bloom-560m-finetuned-common_gen
    results: []
    
  datasets:
  - common_gen
    
  widget:
  - text: "<s>Generate a sentence with the following words:\nski, mountain, skier\nSentence:"
  - text: "<s>Generate a sentence with the following words:\ndog, bed, play\nSentence:"
  
  inference:
    parameters:
      eos_token_id: 2
      max_length: 200
      
  ---
  
  <!-- 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-common_gen
  
  This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the [common_gen](https://huggingface.co/datasets/common_gen) dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3937
  
  ## 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
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 4
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.4819        | 0.38  | 100  | 1.4582          |
  | 1.2451        | 0.76  | 200  | 1.4247          |
  | 1.1016        | 1.14  | 300  | 1.4382          |
  | 0.9724        | 1.53  | 400  | 1.4207          |
  | 0.9396        | 1.91  | 500  | 1.3949          |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  