readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - eurlex
  model-index:
  - name: bert-small-eurlex
    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-eurlex
  
  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 eurlex dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4260
  
  ## 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: 5e-05
  - train_batch_size: 10
  - eval_batch_size: 64
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 80
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.9536        | 1.5   | 1000 | 2.0670          |
  | 2.0331        | 3.0   | 2000 | 1.7540          |
  | 1.8046        | 4.5   | 3000 | 1.5993          |
  | 1.678         | 6.0   | 4000 | 1.5039          |
  | 1.6074        | 7.5   | 5000 | 1.4544          |
  | 1.5664        | 8.99  | 6000 | 1.4260          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  