readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: borges-gpt-collab-finetuned
    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. -->
  
  # borges-gpt-collab-finetuned
  
  This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 6.2150
  
  ## 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: 0.0005
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42069
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 512
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 50
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 4.6177        | 4.96  | 35   | 4.3309          |
  | 3.9729        | 9.96  | 70   | 4.2350          |
  | 3.2225        | 14.96 | 105  | 4.3344          |
  | 2.3158        | 19.96 | 140  | 4.5764          |
  | 1.3761        | 24.96 | 175  | 4.9125          |
  | 0.6779        | 29.96 | 210  | 5.3096          |
  | 0.3399        | 34.96 | 245  | 5.6735          |
  | 0.2147        | 39.96 | 280  | 5.9322          |
  | 0.1675        | 44.96 | 315  | 6.1347          |
  | 0.1418        | 49.96 | 350  | 6.2150          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+rocm5.2
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  