readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: hubert-base-cc-finance-filter
    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. -->
  
  # hubert-base-cc-finance-filter
  
  This model is a fine-tuned version of [papsebestyen/hubert-base-cc-finetuned-forum](https://huggingface.co/papsebestyen/hubert-base-cc-finetuned-forum) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5388
  - F1: 0.7671
  
  ## 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: 3.887995089067299e-05
  - train_batch_size: 60
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 160.18013334673049
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.5717        | 1.0   | 54   | 0.6918          | 0.624  |
  | 0.4104        | 2.0   | 108  | 0.4236          | 0.7119 |
  | 0.3124        | 3.0   | 162  | 0.6001          | 0.7451 |
  | 0.1404        | 4.0   | 216  | 0.5388          | 0.7671 |
  | 0.1305        | 5.0   | 270  | 0.5388          | 0.7671 |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0a0+17540c5
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  