prot_bert_classification_finetuned_karolina_es_20e

nepp1d0/prot_bert_classification_finetuned_karolina_es_20e

prot_bert_classification_finetuned_karolina_es_20e is a text classification model from nepp1d0. Use it when you need a label for a piece of text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Jan 10, 2023
Updated: Jan 10, 2023
SHA: 37cfc3c6

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Model card

From the Hugging Face model README

prot_bert_classification_finetuned_karolina_es_20e

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: 0.6763
Accuracy: 0.92
F1: 0.9583
Precision: 1.0
Recall: 0.92

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
train_batch_size: 64
eval_batch_size: 64
seed: 3
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	2	0.7084	0.02	0.0392	1.0	0.02
No log	2.0	4	0.7082	0.02	0.0392	1.0	0.02
No log	3.0	6	0.7078	0.04	0.0769	1.0	0.04
No log	4.0	8	0.7072	0.04	0.0769	1.0	0.04
No log	5.0	10	0.7065	0.04	0.0769	1.0	0.04
No log	6.0	12	0.7055	0.04	0.0769	1.0	0.04
No log	7.0	14	0.7044	0.04	0.0769	1.0	0.04
No log	8.0	16	0.7031	0.06	0.1132	1.0	0.06
No log	9.0	18	0.7017	0.12	0.2143	1.0	0.12
No log	10.0	20	0.6999	0.2	0.3333	1.0	0.2
No log	11.0	22	0.6981	0.22	0.3607	1.0	0.22
No log	12.0	24	0.6962	0.22	0.3607	1.0	0.22
No log	13.0	26	0.6941	0.24	0.3871	1.0	0.24
No log	14.0	28	0.6917	0.44	0.6111	1.0	0.44
No log	15.0	30	0.6893	0.58	0.7342	1.0	0.58
No log	16.0	32	0.6869	0.76	0.8636	1.0	0.76
No log	17.0	34	0.6842	0.88	0.9362	1.0	0.88
No log	18.0	36	0.6816	0.9	0.9474	1.0	0.9
No log	19.0	38	0.6789	0.92	0.9583	1.0	0.92
No log	20.0	40	0.6763	0.92	0.9583	1.0	0.92

Framework versions

Transformers 4.23.1
Pytorch 1.11.0
Datasets 2.6.1
Tokenizers 0.13.1

Task: Text Classification
Library: transformers
Type: bert
Created: Jan 10, 2023
Updated: Jan 10, 2023