results_mbert_orig – AI Model by Musa24 | AlphaNeural AI

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Musa24/
results_mbert_orig

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text-classification

generated_from_trainer

google-bert/bert-base-multilingual-cased

endpoints_compatible

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results_mbert_aug

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: 0.6506
Accuracy: 0.7158
Macro F1: 0.7326
Weighted F1: 0.7182
Positive F1: 0.85

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro F1	Weighted F1	Positive F1
No log	1.0	408	0.6576	0.7041	0.7257	0.7089	0.8489
0.7342	2.0	816	0.6506	0.7158	0.7326	0.7182	0.85
0.6158	3.0	1224	0.6940	0.7207	0.7357	0.7227	0.8447

Framework versions

Transformers 4.56.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1