biobert-base-cased-v1.2-finetuned-ner-CRAFT_English – AI Model by StivenLancheros | AlphaNeural AI

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StivenLancheros/
biobert-base-cased-v1.2-finetuned-ner-CRAFT_English

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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biobert-base-cased-v1.2-finetuned-ner-CRAFT_English

This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1614
Precision: 0.8585
Recall: 0.8623
F1: 0.8604
Accuracy: 0.9724

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0725	1.0	1360	0.1242	0.8090	0.8698	0.8383	0.9681
0.0281	2.0	2720	0.1541	0.8497	0.8549	0.8523	0.9705
0.0162	3.0	4080	0.1510	0.8390	0.8681	0.8533	0.9711
0.0053	4.0	5440	0.1614	0.8585	0.8623	0.8604	0.9724

Framework versions

Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 1.18.4
Tokenizers 0.11.6