readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - go_emotions
  metrics:
  - accuracy
  - f1
  model-index:
  - name: roberta-large-bne-finetuned-go_emotions-es
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: go_emotions
        type: go_emotions
        config: simplified
        split: train
        args: simplified
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.5668425681618294
      - name: F1
        type: f1
        value: 0.5572049178848779
  ---
  
  <!-- 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. -->
  
  # roberta-large-bne-finetuned-go_emotions-es
  
  This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-large-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne) on the go_emotions dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.2457
  - Accuracy: 0.5668
  - F1: 0.5572
  
  ## 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: 4
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
  | 1.5678        | 1.0   | 9077  | 1.5649          | 0.5671   | 0.5197 |
  | 1.3898        | 2.0   | 18154 | 1.5005          | 0.5776   | 0.5492 |
  | 0.915         | 3.0   | 27231 | 1.8045          | 0.5891   | 0.5692 |
  | 0.5424        | 4.0   | 36308 | 2.8463          | 0.5646   | 0.5519 |
  | 0.2018        | 5.0   | 45385 | 3.2457          | 0.5668   | 0.5572 |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  