readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert_uncased_L-4_H-512_A-8-finetuned-eurlex-longer
    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_uncased_L-4_H-512_A-8-finetuned-eurlex-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 None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8229
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.0308        | 1.0   | 3913  | 0.9303          |
  | 1.0053        | 2.0   | 7826  | 0.9066          |
  | 0.9799        | 3.0   | 11739 | 0.8795          |
  | 0.9575        | 4.0   | 15652 | 0.8677          |
  | 0.9413        | 5.0   | 19565 | 0.8555          |
  | 0.9319        | 6.0   | 23478 | 0.8447          |
  | 0.9235        | 7.0   | 27391 | 0.8388          |
  | 0.9132        | 8.0   | 31304 | 0.8345          |
  | 0.9105        | 9.0   | 35217 | 0.8312          |
  | 0.9154        | 10.0  | 39130 | 0.8229          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  