multibertfinetuned0407 – AI Model by Tommert25 | AlphaNeural AI

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Tommert25/
multibertfinetuned0407

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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multibertfinetuned0407

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

Loss: 0.4688
Precision: 0.4879
Recall: 0.4345
F1: 0.4597
Accuracy: 0.8764

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	131	0.4688	0.4879	0.4345	0.4597	0.8764
No log	2.0	262	0.5224	0.5400	0.4884	0.5129	0.8777
No log	3.0	393	0.5814	0.4900	0.4900	0.4900	0.8683
0.3219	4.0	524	0.6226	0.5125	0.5069	0.5097	0.8750
0.3219	5.0	655	0.6593	0.5008	0.4977	0.4992	0.8771

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3