readme: ---
  license: bigscience-bloom-rail-1.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bloom-560m-finetuned-cdn_law-finetuned-cdn_law_6epochs
    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-cdn_law-finetuned-cdn_law_6epochs
  
  This model is a fine-tuned version of [simonosgoode/bloom-560m-finetuned-cdn_law](https://huggingface.co/simonosgoode/bloom-560m-finetuned-cdn_law) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.3047
  
  ## 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: 2e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.6631        | 1.0   | 8298  | 2.0524          |
  | 1.4265        | 2.0   | 16596 | 2.1195          |
  | 1.1903        | 3.0   | 24894 | 2.3047          |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.11.0
  - Datasets 2.6.0
  - Tokenizers 0.13.1
  