bert-base-low_resource-wellness – AI Model by gaeunseo | AlphaNeural AI

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gaeunseo/
bert-base-low_resource-wellness

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bert-base-low_resource-wellness

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

Loss: 1.0853

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: 4e-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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.8441	1.0	285	1.5346
1.5211	2.0	570	1.4483
1.3907	3.0	855	1.3713
1.3227	4.0	1140	1.2589
1.2745	5.0	1425	1.2187
1.2411	6.0	1710	1.2395
1.1769	7.0	1995	1.1925
1.1377	8.0	2280	1.1454
1.1443	9.0	2565	1.1225
1.11	10.0	2850	1.0843

Framework versions

Transformers 4.23.0
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.13.1