ConcSeqBERT-Katchers-v2 – AI Model by MSParkDev | AlphaNeural AI

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MSParkDev/
ConcSeqBERT-Katchers-v2

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text-classification

generated_from_trainer

google-bert/bert-base-multilingual-cased

autotrain_compatible

endpoints_compatible

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ConcSeqBERT-Katchers-v2

This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5013
Accuracy: 0.7895
F1: 0.7892

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.4689	1.0	2522	0.5435	0.7627	0.7611
0.4421	2.0	5044	0.5013	0.7895	0.7892
0.3959	3.0	7566	0.5284	0.7905	0.7902
0.3783	4.0	10088	0.6208	0.7969	0.7969
0.3641	5.0	12610	0.7085	0.7825	0.7820
0.3415	6.0	15132	0.6301	0.7859	0.7858
0.3129	7.0	17654	0.9330	0.7896	0.7896
0.2658	8.0	20176	1.0530	0.7844	0.7835
0.2322	9.0	22698	1.1667	0.7902	0.7897
0.1925	10.0	25220	1.2394	0.7905	0.7902

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.0.0
Datasets 2.14.5
Tokenizers 0.14.1