readme: ---
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - lex_glue
  model-index:
  - name: ECHR_test_2
    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. -->
  
  # ECHR_test_2
  
  This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the lex_glue dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2487
  - Macro-f1: 0.4052
  - Micro-f1: 0.5660
  
  ## 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: 0.001
  - 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: 1
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Macro-f1 | Micro-f1 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
  | 0.2056        | 0.44  | 500  | 0.2846          | 0.3335   | 0.4763   |
  | 0.1698        | 0.89  | 1000 | 0.2487          | 0.4052   | 0.5660   |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  