readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilroberta-base-wikitextepoch_50
    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-wikitextepoch_50
  
  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: 1.6360
  
  ## 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: 50
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 1.9729        | 1.0   | 2145   | 1.7725          |
  | 1.9158        | 2.0   | 4290   | 1.7521          |
  | 1.8479        | 3.0   | 6435   | 1.7376          |
  | 1.8081        | 4.0   | 8580   | 1.7272          |
  | 1.7966        | 5.0   | 10725  | 1.7018          |
  | 1.7284        | 6.0   | 12870  | 1.7010          |
  | 1.7198        | 7.0   | 15015  | 1.6868          |
  | 1.6985        | 8.0   | 17160  | 1.6879          |
  | 1.6712        | 9.0   | 19305  | 1.6930          |
  | 1.6489        | 10.0  | 21450  | 1.6594          |
  | 1.6643        | 11.0  | 23595  | 1.6856          |
  | 1.6215        | 12.0  | 25740  | 1.6816          |
  | 1.6125        | 13.0  | 27885  | 1.6714          |
  | 1.5936        | 14.0  | 30030  | 1.6760          |
  | 1.5745        | 15.0  | 32175  | 1.6660          |
  | 1.572         | 16.0  | 34320  | 1.6690          |
  | 1.5614        | 17.0  | 36465  | 1.6807          |
  | 1.558         | 18.0  | 38610  | 1.6711          |
  | 1.5305        | 19.0  | 40755  | 1.6446          |
  | 1.5021        | 20.0  | 42900  | 1.6573          |
  | 1.4923        | 21.0  | 45045  | 1.6648          |
  | 1.5086        | 22.0  | 47190  | 1.6757          |
  | 1.4895        | 23.0  | 49335  | 1.6525          |
  | 1.4918        | 24.0  | 51480  | 1.6577          |
  | 1.4642        | 25.0  | 53625  | 1.6633          |
  | 1.4604        | 26.0  | 55770  | 1.6462          |
  | 1.4644        | 27.0  | 57915  | 1.6509          |
  | 1.4633        | 28.0  | 60060  | 1.6417          |
  | 1.4188        | 29.0  | 62205  | 1.6519          |
  | 1.4066        | 30.0  | 64350  | 1.6363          |
  | 1.409         | 31.0  | 66495  | 1.6419          |
  | 1.4029        | 32.0  | 68640  | 1.6510          |
  | 1.4013        | 33.0  | 70785  | 1.6522          |
  | 1.3939        | 34.0  | 72930  | 1.6498          |
  | 1.3648        | 35.0  | 75075  | 1.6423          |
  | 1.3682        | 36.0  | 77220  | 1.6504          |
  | 1.3603        | 37.0  | 79365  | 1.6511          |
  | 1.3621        | 38.0  | 81510  | 1.6533          |
  | 1.3783        | 39.0  | 83655  | 1.6426          |
  | 1.3707        | 40.0  | 85800  | 1.6542          |
  | 1.3628        | 41.0  | 87945  | 1.6671          |
  | 1.3359        | 42.0  | 90090  | 1.6394          |
  | 1.3433        | 43.0  | 92235  | 1.6409          |
  | 1.3525        | 44.0  | 94380  | 1.6366          |
  | 1.3312        | 45.0  | 96525  | 1.6408          |
  | 1.3389        | 46.0  | 98670  | 1.6225          |
  | 1.3323        | 47.0  | 100815 | 1.6309          |
  | 1.3294        | 48.0  | 102960 | 1.6151          |
  | 1.3356        | 49.0  | 105105 | 1.6374          |
  | 1.3285        | 50.0  | 107250 | 1.6360          |
  
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.5.0
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  