readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: bertweet-base-finetuned-IGtext
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  # bertweet-base-finetuned-IGtext
  
  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: 2.0334
  
  ## 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: 32
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.6741        | 1.0   | 505  | 2.2096          |
  | 2.3183        | 2.0   | 1010 | 2.0934          |
  | 2.2089        | 3.0   | 1515 | 2.0595          |
  | 2.1473        | 4.0   | 2020 | 2.0246          |
  
  
  ### Framework versions
  
  - Transformers 4.12.3
  - Pytorch 1.10.0+cu111
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  