readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: my-finetuned-xml-roberta2
    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. -->
  
  # my-finetuned-xml-roberta2
  
  This model is a fine-tuned version of [knurm/my-finetuned-xml-roberta](https://huggingface.co/knurm/my-finetuned-xml-roberta) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.4644
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.4491        | 1.0   | 5652  | 3.3339          |
  | 3.171         | 2.0   | 11304 | 3.2681          |
  | 2.9518        | 3.0   | 16956 | 3.3003          |
  | 2.7305        | 4.0   | 22608 | 3.3447          |
  | 2.5974        | 5.0   | 28260 | 3.4644          |
  
  
  ### Framework versions
  
  - Transformers 4.19.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  