You can deploy this model and start earning money today!

Felipe1908/
bert-safety-monitor-complete

Name: bert-safety-monitor-complete
Availability: InStock

generated_from_trainer

neuralmind/bert-base-portuguese-cased

finetune

mit

text-embeddings-inference

endpoints_compatible

Views

No views yet

bert-safety-monitor-complete

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

Loss: 0.5434
Accuracy: 0.8307
F1 Macro: 0.7834

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: 32
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: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
No log	1.0	353	0.3735	0.8227	0.7834
0.46	2.0	706	0.5032	0.7987	0.7740
0.2828	3.0	1059	0.4577	0.8147	0.7760
0.2828	4.0	1412	0.5434	0.8307	0.7834

Framework versions

Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1

Felipe1908/bert-safety-monitor-complete

bert-safety-monitor-complete

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Felipe1908/
bert-safety-monitor-complete