readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: tiny_bb_wd
    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. -->
  
  # tiny_bb_wd
  
  This model is a fine-tuned version of [kktoto/tiny_bb_wd](https://huggingface.co/kktoto/tiny_bb_wd) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1331
  - Precision: 0.6566
  - Recall: 0.6502
  - F1: 0.6533
  - Accuracy: 0.9524
  
  ## 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: 3e-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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | 0.1193        | 1.0   | 5561  | 0.1398          | 0.6406    | 0.6264 | 0.6335 | 0.9501   |
  | 0.1259        | 2.0   | 11122 | 0.1343          | 0.6476    | 0.6300 | 0.6387 | 0.9509   |
  | 0.1283        | 3.0   | 16683 | 0.1333          | 0.6484    | 0.6367 | 0.6425 | 0.9512   |
  | 0.1217        | 4.0   | 22244 | 0.1325          | 0.6524    | 0.6380 | 0.6451 | 0.9516   |
  | 0.12          | 5.0   | 27805 | 0.1337          | 0.6571    | 0.6377 | 0.6472 | 0.9522   |
  | 0.1187        | 6.0   | 33366 | 0.1319          | 0.6630    | 0.6297 | 0.6459 | 0.9525   |
  | 0.116         | 7.0   | 38927 | 0.1318          | 0.6600    | 0.6421 | 0.6509 | 0.9525   |
  | 0.1125        | 8.0   | 44488 | 0.1337          | 0.6563    | 0.6481 | 0.6522 | 0.9523   |
  | 0.1118        | 9.0   | 50049 | 0.1329          | 0.6575    | 0.6477 | 0.6526 | 0.9524   |
  | 0.1103        | 10.0  | 55610 | 0.1331          | 0.6566    | 0.6502 | 0.6533 | 0.9524   |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  