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---
tags:
- generated_from_trainer
model-index:
- name: SMILES_BERT
results: []
---
# SMILES_BERT
A BERT model trained on a list of 50,000 SMILES for MLM
## Model description
This model is a BERT model that was trained on a list of 50k SMILES. The SMILES were sourced from BindingDB and the compounds bind to certain proteins
with some affinity. The purpose of this model was to provide a model which can then be fine-tuned for other tasks in which SMILES data can be useful.
## Intended uses & limitations
This model was trained in order to provide a model which can then be fine-tuned for other tasks in which SMILES data can be useful such as
predicting physical properties, chemical activity, or biological activity.
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
Training Loss: 0.9446000
Further evaluation is needed
### Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.0
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