vowelizer_1203_v8

Buseak/vowelizer_1203_v8

vowelizer_1203_v8 is a token classification model from Buseak. 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: canine
Access: Public
Created: Mar 16, 2024
Updated: Mar 16, 2024
SHA: f27ae873

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Model card

From the Hugging Face model README

vowelizer_1203_v8

This model is a fine-tuned version of Buseak/vowelizer_1203_v6 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0001
Precision: 1.0000
Recall: 1.0000
F1: 1.0000
Accuracy: 1.0000

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0731	1.0	967	0.0292	0.9860	0.9750	0.9805	0.9908
0.0462	2.0	1934	0.0171	0.9916	0.9850	0.9883	0.9945
0.0327	3.0	2901	0.0104	0.9950	0.9907	0.9929	0.9967
0.0243	4.0	3868	0.0063	0.9968	0.9953	0.9960	0.9981
0.0197	5.0	4835	0.0042	0.9979	0.9968	0.9973	0.9987
0.0159	6.0	5802	0.0031	0.9981	0.9979	0.9980	0.9991
0.0132	7.0	6769	0.0018	0.9990	0.9985	0.9988	0.9995
0.0115	8.0	7736	0.0014	0.9991	0.9991	0.9991	0.9996
0.0097	9.0	8703	0.0010	0.9994	0.9994	0.9994	0.9997
0.0082	10.0	9670	0.0007	0.9996	0.9995	0.9996	0.9998
0.0066	11.0	10637	0.0005	0.9998	0.9997	0.9998	0.9999
0.006	12.0	11604	0.0004	0.9998	0.9998	0.9998	0.9999
0.0055	13.0	12571	0.0003	0.9997	0.9997	0.9997	0.9999
0.0047	14.0	13538	0.0002	0.9999	0.9999	0.9999	1.0000
0.004	15.0	14505	0.0002	0.9999	0.9999	0.9999	1.0000
0.0034	16.0	15472	0.0001	0.9999	0.9999	0.9999	1.0000
0.0032	17.0	16439	0.0001	1.0000	1.0000	1.0000	1.0000
0.003	18.0	17406	0.0001	1.0000	1.0000	1.0000	1.0000
0.0027	19.0	18373	0.0001	1.0000	1.0000	1.0000	1.0000
0.0024	20.0	19340	0.0001	1.0000	1.0000	1.0000	1.0000

Framework versions

Transformers 4.28.0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: canine
License: apache-2.0
Created: Mar 16, 2024
Updated: Mar 16, 2024