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Abderrahim2/
bert-finetuned-Location

Name: bert-finetuned-Location
Availability: InStock

generated_from_trainer

mit

autotrain_compatible

endpoints_compatible

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bert-finetuned-Location

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

Loss: 0.5462
F1: 0.8167
Roc Auc: 0.8624
Accuracy: 0.8133

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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.4229	1.0	742	0.3615	0.7402	0.8014	0.6900
0.3722	2.0	1484	0.3103	0.7906	0.8416	0.7796
0.262	3.0	2226	0.3364	0.8135	0.8600	0.8100
0.2239	4.0	2968	0.4593	0.8085	0.8561	0.8066
0.1461	5.0	3710	0.5534	0.7923	0.8440	0.7904
0.1333	6.0	4452	0.5462	0.8167	0.8624	0.8133
0.0667	7.0	5194	0.6298	0.7972	0.8479	0.7958
0.0616	8.0	5936	0.6362	0.8075	0.8556	0.8059

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

Abderrahim2/bert-finetuned-Location

bert-finetuned-Location

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Abderrahim2/
bert-finetuned-Location