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: 2.5433
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5742 | 1.0 | 8000 | 2.5527 |
| 2.5505 | 2.0 | 16000 | 2.5361 |
| 2.5345 | 3.0 | 24000 | 2.5433 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1