nepp1d0/prot_bert_classification_finetuned_training_script_trial
09
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protbertclassificationfinetunedtrainingscripttrial
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: 0.6847
- Accuracy: 0.86
- F1: 0.9247
- Precision: 1.0
- Recall: 0.86
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
- trainbatchsize: 1
- evalbatchsize: 1
- seed: 3
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 5
- num_epochs: 1
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2