best – AI Model by remva | AlphaNeural AI

You can deploy this model and start earning money today!

remva/
best

like

0

token-classification

generated_from_trainer

google-bert/bert-base-cased

autotrain_compatible

endpoints_compatible

Views

No views yet

best

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

Loss: 0.7859
Precision: 0.5674
Recall: 0.3128
F1: 0.4032
Accuracy: 0.9091

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: 0.0001
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	Precision	Recall	F1	Accuracy
0.2333	1.0	976	0.3260	0.5738	0.3424	0.4289	0.9084
0.1185	2.0	1952	0.3269	0.6161	0.2788	0.3839	0.9084
0.0783	3.0	2928	0.5034	0.5182	0.2964	0.3771	0.9081
0.0447	4.0	3904	0.5688	0.5086	0.2801	0.3612	0.9064
0.0333	5.0	4880	0.6193	0.4373	0.2612	0.3270	0.9033
0.0225	6.0	5856	0.6109	0.5366	0.3140	0.3962	0.9086
0.0129	7.0	6832	0.6019	0.5187	0.3669	0.4298	0.9104
0.0064	8.0	7808	0.6814	0.5412	0.3222	0.4039	0.9094
0.0051	9.0	8784	0.7602	0.5573	0.3304	0.4149	0.9091
0.0014	10.0	9760	0.7859	0.5674	0.3128	0.4032	0.9091

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1