---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SingleBertModel-ProtBertfinetuned-smilesBindingDB
  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. -->

# SingleBertModel-ProtBertfinetuned-smilesBindingDB

This model is a fine-tuned version of [nepp1d0/SingleBertModel-ProtBertfinetuned-smilesBindingDB](https://huggingface.co/nepp1d0/SingleBertModel-ProtBertfinetuned-smilesBindingDB) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6792
- Accuracy: 0.4893

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3289        | 1.0   | 13806 | 1.1720          | 0.5107   |
| 1.2988        | 2.0   | 27612 | 1.3508          | 0.4893   |
| 1.334         | 3.0   | 41418 | 1.4480          | 0.4893   |
| 1.3082        | 4.0   | 55224 | 1.4471          | 0.4893   |
| 1.3746        | 5.0   | 69030 | 1.6792          | 0.4893   |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1