readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: xlm-roberta-base-finetuned-ecoicop
    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. -->
  
  # xlm-roberta-base-finetuned-ecoicop
  
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1685
  - Acc: 0.9659
  
  ## 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: 16
  - eval_batch_size: 16
  - 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 | Acc    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.4224        | 1.0   | 2577  | 0.3612          | 0.9132 |
  | 0.2313        | 2.0   | 5154  | 0.2510          | 0.9441 |
  | 0.1746        | 3.0   | 7731  | 0.1928          | 0.9569 |
  | 0.1325        | 4.0   | 10308 | 0.1731          | 0.9640 |
  | 0.0946        | 5.0   | 12885 | 0.1685          | 0.9659 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.9.0+cu111
  - Datasets 1.14.0
  - Tokenizers 0.10.3
  