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: 3.6324
F1: 0.5277

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.7056	1.0	1125	1.5127	0.4766
0.7472	2.0	2250	1.4296	0.5148
0.5266	3.0	3375	1.6938	0.5262
0.3887	4.0	4500	2.1185	0.5176
0.3078	5.0	5625	2.5383	0.5229
0.2286	6.0	6750	3.0566	0.5107
0.1718	7.0	7875	3.3369	0.5248
0.1324	8.0	9000	3.4615	0.5255
0.1372	9.0	10125	3.5526	0.5221
0.1095	10.0	11250	3.6324	0.5277

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0

ricardo-filho/google-play-sentiment-analysis

google-play-sentiment-analysis

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ricardo-filho/
google-play-sentiment-analysis