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

Loss: 4.0502

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
No log	1.0	20	4.1937
No log	2.0	40	3.8830
No log	3.0	60	3.9086

Framework versions

Transformers 4.37.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

ricigl/bert-base-portuguese-cased-finetuned-RM-3

bert-base-portuguese-cased-finetuned-RM-3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ricigl/
bert-base-portuguese-cased-finetuned-RM-3