readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: ES_corlec_DeepESP-gpt2-spanish
    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. -->
  
  # ES_corlec_DeepESP-gpt2-spanish
  
  This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.0360
  
  ## 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: 1e-06
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 200
  - num_epochs: 7
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 4.2471        | 0.4   | 2000  | 4.2111          |
  | 4.1503        | 0.79  | 4000  | 4.1438          |
  | 4.0749        | 1.19  | 6000  | 4.1077          |
  | 4.024         | 1.59  | 8000  | 4.0857          |
  | 3.9855        | 1.98  | 10000 | 4.0707          |
  | 3.9465        | 2.38  | 12000 | 4.0605          |
  | 3.9277        | 2.78  | 14000 | 4.0533          |
  | 3.9159        | 3.17  | 16000 | 4.0482          |
  | 3.8918        | 3.57  | 18000 | 4.0448          |
  | 3.8789        | 3.97  | 20000 | 4.0421          |
  | 3.8589        | 4.36  | 22000 | 4.0402          |
  | 3.8554        | 4.76  | 24000 | 4.0387          |
  | 3.8509        | 5.15  | 26000 | 4.0377          |
  | 3.8389        | 5.55  | 28000 | 4.0370          |
  | 3.8288        | 5.95  | 30000 | 4.0365          |
  | 3.8293        | 6.34  | 32000 | 4.0362          |
  | 3.8202        | 6.74  | 34000 | 4.0360          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.1+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  