readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - becasv2
  model-index:
  - name: distilbert-base-uncased-becas-3
    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-becas-3
  
  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: 5.9817
  
  ## 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: 0.0001
  - train_batch_size: 20
  - eval_batch_size: 20
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 4    | 4.7485          |
  | No log        | 2.0   | 8    | 4.9898          |
  | No log        | 3.0   | 12   | 4.5283          |
  | No log        | 4.0   | 16   | 5.2474          |
  | No log        | 5.0   | 20   | 5.7884          |
  | No log        | 6.0   | 24   | 5.7276          |
  | No log        | 7.0   | 28   | 6.1736          |
  | No log        | 8.0   | 32   | 6.2020          |
  | No log        | 9.0   | 36   | 5.9669          |
  | No log        | 10.0  | 40   | 5.9817          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  