SOMD-bert-stage1-v1 – AI Model by ThuyNT03 | AlphaNeural AI

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ThuyNT03/
SOMD-bert-stage1-v1

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token-classification

generated_from_trainer

google-bert/bert-base-cased

autotrain_compatible

endpoints_compatible

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SOMD-bert-stage1-v1

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: 0.0000
F1: 0.9997

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
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	F1
No log	1.0	1243	0.0019	0.8899
No log	2.0	2486	0.0006	0.9628
No log	3.0	3729	0.0005	0.9760
No log	4.0	4972	0.0001	0.9917
No log	5.0	6215	0.0002	0.9897
No log	6.0	7458	0.0002	0.9908
No log	7.0	8701	0.0002	0.9890
No log	8.0	9944	0.0001	0.9940
No log	9.0	11187	0.0001	0.9954
No log	10.0	12430	0.0001	0.9969
No log	11.0	13673	0.0001	0.9946
No log	12.0	14916	0.0001	0.9971
No log	13.0	16159	0.0000	0.9989
No log	14.0	17402	0.0000	0.9980
No log	15.0	18645	0.0000	0.9997
No log	16.0	19888	0.0000	0.9992
No log	17.0	21131	0.0000	0.9997
No log	18.0	22374	0.0000	0.9997
No log	19.0	23617	0.0000	0.9997
No log	20.0	24860	0.0000	0.9997

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1