readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: Setfit-finetuned-classifier
    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. -->
  
  # Setfit-finetuned-classifier
  
  This model is a fine-tuned version of [Kuaaangwen/Setfit-few-shot-classifier](https://huggingface.co/Kuaaangwen/Setfit-few-shot-classifier) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.3147
  - Accuracy: 0.9854
  
  ## 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: 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 69   | 2.6990          | 0.8832   |
  | No log        | 2.0   | 138  | 2.3147          | 0.9854   |
  | No log        | 3.0   | 207  | 2.0378          | 0.9489   |
  | No log        | 4.0   | 276  | 1.8422          | 0.9635   |
  | No log        | 5.0   | 345  | 1.6889          | 0.9781   |
  | No log        | 6.0   | 414  | 1.5720          | 0.9708   |
  | No log        | 7.0   | 483  | 1.4913          | 0.9781   |
  | 2.0817        | 8.0   | 552  | 1.4335          | 0.9708   |
  | 2.0817        | 9.0   | 621  | 1.3979          | 0.9781   |
  | 2.0817        | 10.0  | 690  | 1.3872          | 0.9854   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  