readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: xlm-roberta-base-finetuned-osdg
    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-osdg
  
  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: 0.6747
  - Acc: 0.8296
  
  ## 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: 6e-07
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Acc    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.552         | 1.0   | 509  | 0.6801          | 0.8229 |
  | 0.5261        | 2.0   | 1018 | 0.6821          | 0.8218 |
  | 0.5518        | 3.0   | 1527 | 0.6770          | 0.8246 |
  | 0.4856        | 4.0   | 2036 | 0.6781          | 0.8279 |
  | 0.5427        | 5.0   | 2545 | 0.6748          | 0.8318 |
  | 0.5049        | 6.0   | 3054 | 0.6769          | 0.8290 |
  | 0.5155        | 7.0   | 3563 | 0.6756          | 0.8307 |
  | 0.503         | 8.0   | 4072 | 0.6763          | 0.8296 |
  | 0.5009        | 9.0   | 4581 | 0.6741          | 0.8301 |
  | 0.555         | 10.0  | 5090 | 0.6747          | 0.8296 |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  