readme: ---
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - wikitext
  model-index:
  - name: xtremedistil-l12-h384-uncased-finetuned-wikitext103
    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. -->
  
  # xtremedistil-l12-h384-uncased-finetuned-wikitext103
  
  This model is a fine-tuned version of [microsoft/xtremedistil-l12-h384-uncased](https://huggingface.co/microsoft/xtremedistil-l12-h384-uncased) on the wikitext dataset.
  It achieves the following results on the evaluation set:
  - Loss: 6.7699
  
  ## 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: 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: 3.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 7.3467        | 1.0   | 3125 | 6.9197          |
  | 6.9751        | 2.0   | 6250 | 6.8061          |
  | 6.9142        | 3.0   | 9375 | 6.7699          |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.11.0
  - Datasets 1.1.1
  - Tokenizers 0.10.1
  