readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  - precision
  - recall
  model-index:
  - name: prot_bert_classification_finetuned_karolina_es_10e
    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. -->
  
  # prot_bert_classification_finetuned_karolina_es_10e
  
  This model is a fine-tuned version of [nepp1d0/prot_bert-finetuned-smiles-bindingDB](https://huggingface.co/nepp1d0/prot_bert-finetuned-smiles-bindingDB) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6840
  - Accuracy: 0.88
  - F1: 0.9362
  - Precision: 1.0
  - Recall: 0.88
  
  ## 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: 1e-06
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 3
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 100
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
  | No log        | 1.0   | 4    | 0.7082          | 0.02     | 0.0392 | 1.0       | 0.02   |
  | No log        | 2.0   | 8    | 0.7073          | 0.04     | 0.0769 | 1.0       | 0.04   |
  | No log        | 3.0   | 12   | 0.7060          | 0.04     | 0.0769 | 1.0       | 0.04   |
  | No log        | 4.0   | 16   | 0.7047          | 0.04     | 0.0769 | 1.0       | 0.04   |
  | No log        | 5.0   | 20   | 0.7034          | 0.08     | 0.1481 | 1.0       | 0.08   |
  | No log        | 6.0   | 24   | 0.7008          | 0.22     | 0.3607 | 1.0       | 0.22   |
  | No log        | 7.0   | 28   | 0.6976          | 0.22     | 0.3607 | 1.0       | 0.22   |
  | No log        | 8.0   | 32   | 0.6933          | 0.3      | 0.4615 | 1.0       | 0.3    |
  | No log        | 9.0   | 36   | 0.6893          | 0.6      | 0.7500 | 1.0       | 0.6    |
  | No log        | 10.0  | 40   | 0.6840          | 0.88     | 0.9362 | 1.0       | 0.88   |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.11.0
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  