readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: paraphraser-spanish-mt5-small
    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. -->
  
  # paraphraser-spanish-mt5-small
  
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4586
  
  ## 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: 10
  - eval_batch_size: 10
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.5365        | 0.07  | 2000  | 1.7577          |
  | 2.5821        | 0.14  | 4000  | 1.6885          |
  | 2.3485        | 0.21  | 6000  | 1.6532          |
  | 2.2427        | 0.28  | 8000  | 1.5780          |
  | 2.1358        | 0.35  | 10000 | 1.5455          |
  | 2.0808        | 0.42  | 12000 | 1.5185          |
  | 2.0139        | 0.5   | 14000 | 1.5130          |
  | 1.9883        | 0.57  | 16000 | 1.5012          |
  | 1.969         | 0.64  | 18000 | 1.4911          |
  | 1.9697        | 0.71  | 20000 | 1.4706          |
  | 1.9552        | 0.78  | 22000 | 1.4653          |
  | 1.9264        | 0.85  | 24000 | 1.4669          |
  | 1.932         | 0.92  | 26000 | 1.4569          |
  | 1.9256        | 0.99  | 28000 | 1.4586          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  