phobert-base-v2_baseline_words – AI Model by VampeeHuntee | AlphaNeural AI

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VampeeHuntee/
phobert-base-v2_baseline_words

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token-classification

generated_from_trainer

vinai/phobert-base-v2

autotrain_compatible

endpoints_compatible

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phobert-base-v2_baseline_words

This model is a fine-tuned version of vinai/phobert-base-v2 on the covid19_ner dataset. It achieves the following results on the evaluation set:

Loss: 0.0874
Patient Id: 0.9824
Name: 0.9415
Gender: 0.9647
Age: 0.9502
Job: 0.8000
Location: 0.9509
Organization: 0.9148
Date: 0.9860
Symptom And Disease: 0.8863
Transportation: 1.0
F1 Macro: 0.9377
F1 Micro: 0.9503

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
0.4337	1.0	629	0.1664	0.9739	0.9446	0.7794	0.9010	0.0	0.9341	0.8413	0.9851	0.8585	0.9885	0.8206	0.9172
0.1019	2.0	1258	0.1071	0.9770	0.9340	0.9640	0.9644	0.5412	0.9460	0.8823	0.9865	0.8771	1.0	0.9072	0.9402
0.0639	3.0	1887	0.0952	0.9797	0.928	0.9647	0.9682	0.5799	0.9488	0.9094	0.9847	0.8814	1.0	0.9145	0.9445
0.0454	4.0	2516	0.0873	0.9820	0.9365	0.9663	0.9632	0.7734	0.9537	0.9075	0.9851	0.8832	1.0	0.9351	0.9503
0.0365	5.0	3145	0.0874	0.9824	0.9415	0.9647	0.9502	0.8000	0.9509	0.9148	0.9860	0.8863	1.0	0.9377	0.9503

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1