bert-finetuned-mutation-recognition-2

Salvatore/bert-finetuned-mutation-recognition-2

bert-finetuned-mutation-recognition-2 is a token classification model from Salvatore. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jun 29, 2022
Updated: Jun 29, 2022
SHA: 56446510

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Model card

From the Hugging Face model README

bert-finetuned-mutation-recognition-2

This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0818
Dnamutation F1: 0.6371
Snp F1: 0.0952
Proteinmutation F1: 0.8412
Precision: 0.7646
Recall: 0.6596
F1: 0.7082
Accuracy: 0.9877

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Dnamutation F1	Snp F1	Proteinmutation F1	Precision	Recall	F1	Accuracy
No log	1.0	403	0.0383	0.5871	0.0	0.7573	0.6195	0.6770	0.6470	0.9872
0.0863	2.0	806	0.0349	0.6202	0.0	0.8646	0.6815	0.7408	0.7099	0.9889
0.0295	3.0	1209	0.0415	0.5670	0.0	0.7689	0.6887	0.6035	0.6433	0.9866
0.019	4.0	1612	0.0430	0.5909	0.4742	0.7840	0.6667	0.6615	0.6641	0.9881
0.0127	5.0	2015	0.0507	0.6345	0.0	0.8455	0.7290	0.6867	0.7072	0.9885
0.0127	6.0	2418	0.0678	0.5946	0.05	0.8087	0.7471	0.6170	0.6758	0.9868
0.0067	7.0	2821	0.0544	0.6693	0.2727	0.8475	0.7208	0.7292	0.725	0.9884
0.0042	8.0	3224	0.0642	0.6694	0.2000	0.8401	0.7390	0.7118	0.7251	0.9885
0.0019	9.0	3627	0.0847	0.6271	0.0976	0.8416	0.7671	0.6499	0.7037	0.9877
0.0014	10.0	4030	0.0818	0.6371	0.0952	0.8412	0.7646	0.6596	0.7082	0.9877

Framework versions

Transformers 4.17.0
Pytorch 1.10.2
Datasets 2.0.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 29, 2022
Updated: Jun 29, 2022