readme: ---
  license: bigscience-bloom-rail-1.0
  langs:
  - es
  tags:
  - generated_from_trainer
  - summarization
  - Spanish summarizing
  model-index:
  - name: bloom-560m-finetuned-wikilingua-spanish-summarization
    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-wikilingua-spanish-summarization
  
  This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.1223
  
  ## 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: 2
  - 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.4768        | 0.07  | 500   | 2.4828          |
  | 2.428         | 0.14  | 1000  | 2.4125          |
  | 2.4           | 0.2   | 1500  | 2.3927          |
  | 2.3685        | 0.27  | 2000  | 2.3506          |
  | 2.3287        | 0.34  | 2500  | 2.3340          |
  | 2.3196        | 0.41  | 3000  | 2.3284          |
  | 2.2885        | 0.48  | 3500  | 2.3005          |
  | 2.2646        | 0.55  | 4000  | 2.2944          |
  | 2.2676        | 0.68  | 5000  | 2.2575          |
  | 2.2267        | 0.82  | 6000  | 2.2281          |
  | 2.1971        | 0.95  | 7000  | 2.2018          |
  | 2.009         | 1.09  | 8000  | 2.1925          |
  | 1.9989        | 1.23  | 9000  | 2.1765          |
  | 2.0131        | 1.36  | 10000 | 2.1666          |
  | 1.9765        | 1.5   | 11000 | 2.1514          |
  | 1.9449        | 1.64  | 12000 | 2.1404          |
  | 1.9399        | 1.77  | 13000 | 2.1297          |
  | 1.957         | 1.91  | 14000 | 2.1223          |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.13.0
  