metadata
tags:
- generated_from_trainer
model-index:
- name: SingleBertModel-ProtBertfinetuned-smilesBindingDB
results: []
SingleBertModel-ProtBertfinetuned-smilesBindingDB
This model is a fine-tuned version of Rostlab/prot_bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4986
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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2072 | 1.0 | 100 | 2.6362 |
| 2.5623 | 2.0 | 200 | 2.5323 |
| 2.5298 | 3.0 | 300 | 2.5733 |
| 2.5275 | 4.0 | 400 | 2.5487 |
| 2.4336 | 5.0 | 500 | 2.5314 |
| 2.5169 | 6.0 | 600 | 2.5311 |
| 2.4437 | 7.0 | 700 | 2.3698 |
| 2.4303 | 8.0 | 800 | 2.3818 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1