readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - becasv2
  model-index:
  - name: distilbert-base-uncased-becasv2-4
    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. -->
  
  # distilbert-base-uncased-becasv2-4
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the becasv2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.4637
  
  ## 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: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 6    | 5.3677          |
  | No log        | 2.0   | 12   | 4.6741          |
  | No log        | 3.0   | 18   | 4.2978          |
  | No log        | 4.0   | 24   | 3.9963          |
  | No log        | 5.0   | 30   | 3.7544          |
  | No log        | 6.0   | 36   | 3.5810          |
  | No log        | 7.0   | 42   | 3.4932          |
  | No log        | 8.0   | 48   | 3.4637          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  