model_all – AI Model by irenema | AlphaNeural AI

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irenema/
model_all

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text-classification

generated_from_trainer

google-bert/bert-base-multilingual-cased

autotrain_compatible

endpoints_compatible

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model_all

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

Loss: 1.4240
Accuracy: 0.7937
F1: 0.7937
Precision: 0.7937
Recall: 0.7937

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.9958	1.0	753	1.0623	0.6951	0.6951	0.6951	0.6951
0.3471	2.0	1506	1.0435	0.7579	0.7579	0.7579	0.7579
0.1329	3.0	2259	1.1884	0.7844	0.7844	0.7844	0.7844
0.0612	4.0	3012	1.3113	0.7851	0.7851	0.7851	0.7851
0.0263	5.0	3765	1.4240	0.7937	0.7937	0.7937	0.7937
0.0237	6.0	4518	1.5578	0.7824	0.7824	0.7824	0.7824

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0