phobert-base_baseline_words – AI Model by VampeeHuntee | AlphaNeural AI

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VampeeHuntee/
phobert-base_baseline_words

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token-classification

generated_from_trainer

vinai/phobert-base

autotrain_compatible

endpoints_compatible

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phobert-base_baseline_words

This model is a fine-tuned version of vinai/phobert-base on the covid19_ner dataset. It achieves the following results on the evaluation set:

Loss: 0.0829
Patient Id: 0.9848
Name: 0.9421
Gender: 0.9570
Age: 0.9766
Job: 0.8095
Location: 0.9448
Organization: 0.9078
Date: 0.9869
Symptom And Disease: 0.8923
Transportation: 0.9943
F1 Macro: 0.9396
F1 Micro: 0.9498

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Patient Id	Name	Gender	Age	Job	Location	Organization	Date	Symptom And Disease	Transportation	F1 Macro	F1 Micro
0.2964	1.0	629	0.1215	0.9689	0.9534	0.9107	0.8987	0.5357	0.9350	0.8368	0.9856	0.8584	0.9667	0.8850	0.9251
0.068	2.0	1258	0.0890	0.9844	0.9479	0.9487	0.9723	0.6167	0.9377	0.8815	0.9860	0.8835	0.9886	0.9147	0.9409
0.0441	3.0	1887	0.0847	0.9828	0.9446	0.9554	0.9737	0.7570	0.9445	0.9062	0.9874	0.8909	0.9943	0.9337	0.9482
0.0327	4.0	2516	0.0859	0.9859	0.9449	0.9570	0.9765	0.7778	0.9451	0.9062	0.9874	0.8914	0.9943	0.9366	0.9495
0.0259	5.0	3145	0.0829	0.9848	0.9421	0.9570	0.9766	0.8095	0.9448	0.9078	0.9869	0.8923	0.9943	0.9396	0.9498

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1