readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert_uncased_L-4_H-512_A-8-finetuned-legal-definitions-longer
    results: []
  datasets:
  - finiteautomata/legal-definitions
  ---
  
  <!-- 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_uncased_L-4_H-512_A-8-finetuned-legal-definitions-longer
  
  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 legal-definitions dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3701
  
  ## 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: 64
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.4867        | 1.0   | 801  | 1.4951          |
  | 1.429         | 2.0   | 1602 | 1.4872          |
  | 1.4055        | 3.0   | 2403 | 1.4147          |
  | 1.3703        | 4.0   | 3204 | 1.4231          |
  | 1.3414        | 5.0   | 4005 | 1.4094          |
  | 1.3254        | 6.0   | 4806 | 1.3913          |
  | 1.3064        | 7.0   | 5607 | 1.3827          |
  | 1.2967        | 8.0   | 6408 | 1.3905          |
  | 1.2961        | 9.0   | 7209 | 1.3719          |
  | 1.2824        | 10.0  | 8010 | 1.3701          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  