niluminous
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multilingualbert_onfood

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multilingualbert_onfood

This model is a fine-tuned version of bert-base-multilingual-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.1016

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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
4.1374	1.0	3211	3.8553
3.4794	2.0	6422	3.2610
3.2416	3.0	9633	3.0919

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

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Model tree for niluminous/multilingualbert_onfood

Base model

google-bert/bert-base-multilingual-uncased

Finetuned

(1850)

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