readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-tiny-finetuned-pile-of-law-tos
    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. -->
  
  # bert-tiny-finetuned-pile-of-law-tos
  
  This model is a MLM fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the [pile-of-law/tos](https://huggingface.co/datasets/pile-of-law/pile-of-law) dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.3545
  
  ## 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: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 264  | 3.5896          |
  | 3.8119        | 2.0   | 528  | 3.5598          |
  | 3.8119        | 3.0   | 792  | 3.5263          |
  | 3.7028        | 4.0   | 1056 | 3.4982          |
  | 3.7028        | 5.0   | 1320 | 3.5170          |
  | 3.6286        | 6.0   | 1584 | 3.5143          |
  | 3.6286        | 7.0   | 1848 | 3.4477          |
  | 3.553         | 8.0   | 2112 | 3.4044          |
  | 3.553         | 9.0   | 2376 | 3.4670          |
  | 3.5179        | 10.0  | 2640 | 3.3991          |
  | 3.5179        | 11.0  | 2904 | 3.4330          |
  | 3.4784        | 12.0  | 3168 | 3.4671          |
  | 3.4784        | 13.0  | 3432 | 3.3489          |
  | 3.4535        | 14.0  | 3696 | 3.4354          |
  | 3.4535        | 15.0  | 3960 | 3.4023          |
  
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  