metadata
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: prot_bert_classification_finetuned_karolina_es_10e
results: []
prot_bert_classification_finetuned_karolina_es_10e
This model is a fine-tuned version of 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