readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilroberta-base-finetuned-marktextepoch_35
    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. -->
  
  # distilroberta-base-finetuned-marktextepoch_35
  
  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.0029
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 35
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.5158        | 1.0   | 1500  | 2.3385          |
  | 2.4312        | 2.0   | 3000  | 2.2620          |
  | 2.3563        | 3.0   | 4500  | 2.2279          |
  | 2.3249        | 4.0   | 6000  | 2.2165          |
  | 2.2515        | 5.0   | 7500  | 2.2246          |
  | 2.2178        | 6.0   | 9000  | 2.1714          |
  | 2.1822        | 7.0   | 10500 | 2.1461          |
  | 2.1501        | 8.0   | 12000 | 2.1388          |
  | 2.1342        | 9.0   | 13500 | 2.1085          |
  | 2.1141        | 10.0  | 15000 | 2.1090          |
  | 2.0833        | 11.0  | 16500 | 2.1130          |
  | 2.0769        | 12.0  | 18000 | 2.0969          |
  | 2.0474        | 13.0  | 19500 | 2.0823          |
  | 2.0364        | 14.0  | 21000 | 2.0893          |
  | 2.0269        | 15.0  | 22500 | 2.0501          |
  | 1.9814        | 16.0  | 24000 | 2.0667          |
  | 1.9716        | 17.0  | 25500 | 2.0570          |
  | 1.9611        | 18.0  | 27000 | 2.0530          |
  | 1.9557        | 19.0  | 28500 | 2.0590          |
  | 1.9443        | 20.0  | 30000 | 2.0381          |
  | 1.9229        | 21.0  | 31500 | 2.0433          |
  | 1.9192        | 22.0  | 33000 | 2.0468          |
  | 1.8865        | 23.0  | 34500 | 2.0361          |
  | 1.914         | 24.0  | 36000 | 2.0412          |
  | 1.867         | 25.0  | 37500 | 2.0165          |
  | 1.8724        | 26.0  | 39000 | 2.0152          |
  | 1.8644        | 27.0  | 40500 | 2.0129          |
  | 1.8685        | 28.0  | 42000 | 2.0183          |
  | 1.8458        | 29.0  | 43500 | 2.0082          |
  | 1.8653        | 30.0  | 45000 | 1.9939          |
  | 1.8584        | 31.0  | 46500 | 2.0015          |
  | 1.8396        | 32.0  | 48000 | 1.9924          |
  | 1.8399        | 33.0  | 49500 | 2.0102          |
  | 1.8363        | 34.0  | 51000 | 1.9946          |
  | 1.83          | 35.0  | 52500 | 1.9908          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  