readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: bertweet-finetuned-rbam
    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. -->
  
  # bertweet-finetuned-rbam
  
  This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3971
  - F1: 0.6620
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.7138        | 1.0   | 1632 | 0.7529          | 0.6814 |
  | 0.5692        | 2.0   | 3264 | 0.8473          | 0.6803 |
  | 0.4126        | 3.0   | 4896 | 1.0029          | 0.6617 |
  | 0.2854        | 4.0   | 6528 | 1.2167          | 0.6635 |
  | 0.2007        | 5.0   | 8160 | 1.3971          | 0.6620 |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  