readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - becasv2
  model-index:
  - name: roberta-base-bne-ROBERTaBECAS
    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. -->
  
  # roberta-base-bne-ROBERTaBECAS
  
  This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the becasv2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.5760
  
  ## 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: 11
  - eval_batch_size: 11
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 6    | 4.3366          |
  | No log        | 2.0   | 12   | 3.1395          |
  | No log        | 3.0   | 18   | 2.6092          |
  | No log        | 4.0   | 24   | 2.5084          |
  | No log        | 5.0   | 30   | 2.5760          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.9.0+cu111
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  