bert-large-pt-archive

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

Loss: 0.0869
Precision: 0.9280
Recall: 0.9541
F1: 0.9409
Accuracy: 0.9767

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0665	1.0	765	0.1020	0.8928	0.9566	0.9236	0.9696
0.0392	2.0	1530	0.0781	0.9229	0.9586	0.9404	0.9757
0.0201	3.0	2295	0.0809	0.9278	0.9550	0.9412	0.9767
0.0152	4.0	3060	0.0869	0.9280	0.9541	0.9409	0.9767

Framework versions

Transformers 4.10.0.dev0
Pytorch 1.9.0+cu111
Datasets 1.10.2
Tokenizers 0.10.3