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belisards/
azmn-bertimbau-posicao

Name: azmn-bertimbau-posicao
Availability: InStock

generated_from_trainer

neuralmind/bert-base-portuguese-cased

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neuralmind/bert-base-portuguese-cased

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: 0.0505
Accuracy: 0.7211
F1: 0.6737
Recall: 0.7341
Precision: 0.6706

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: 1e-05
train_batch_size: 64
eval_batch_size: 64
seed: 5151
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 120
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall	Precision
0.0685	1.0	18	0.0667	0.3571	0.3563	0.4877	0.4864
0.0642	2.0	36	0.0655	0.5268	0.5020	0.5461	0.5354
0.0629	3.0	54	0.0641	0.6607	0.6052	0.6253	0.6036
0.0614	4.0	72	0.0618	0.6964	0.6569	0.6942	0.6551
0.0583	5.0	90	0.0584	0.7054	0.6773	0.7339	0.6816
0.0549	6.0	108	0.0548	0.7321	0.6930	0.7295	0.6862
0.048	7.0	126	0.0553	0.7768	0.7124	0.7148	0.7102
0.0391	8.0	144	0.0521	0.7768	0.7460	0.7933	0.7360
0.032	9.0	162	0.0523	0.7679	0.7208	0.7424	0.7103
0.0222	10.0	180	0.0585	0.7946	0.7354	0.7381	0.7329
0.0181	11.0	198	0.0809	0.8036	0.7083	0.6880	0.7561

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

belisards/azmn-bertimbau-posicao

neuralmind/bert-base-portuguese-cased

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

belisards/
azmn-bertimbau-posicao