readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - albertvillanova/legal_contracts
  model-index:
  - name: bert-small-finetuned-legal-contracts-larger4010
    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-small-finetuned-legal-contracts-larger4010
  
  This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the None dataset.
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  The model was not trained on the whole dataset which is around 9.5 GB, but only 
  The first 40% of `train` + the last 10% of `train`.
  
  ```bash
  datasets_train = load_dataset('albertvillanova/legal_contracts' , split='train[:40%]')
  datasets_validation = load_dataset('albertvillanova/legal_contracts' , split='train[-10%:]')
  ```
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 128
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  