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Prates/
bert_ENEM2

Name: bert_ENEM2
Rating: 2.5 (6 reviews)

generated_from_trainer

neuralmind/bert-base-portuguese-cased

finetune

mit

endpoints_compatible

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bert_ENEM2

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: 3.2449
Accuracy: 0.3889

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: 5e-05
train_batch_size: 3
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	107	1.6035	0.2222
No log	2.0	214	1.4424	0.4167
No log	3.0	321	1.9931	0.4167
No log	4.0	428	2.5895	0.3611
0.7932	5.0	535	2.2424	0.4167
0.7932	6.0	642	2.8100	0.3611
0.7932	7.0	749	3.1343	0.3611
0.7932	8.0	856	3.1998	0.3611
0.7932	9.0	963	3.1072	0.3611
0.0087	10.0	1070	3.2449	0.3889

Framework versions

Transformers 4.35.2
Pytorch 2.1.1
Datasets 2.15.0
Tokenizers 0.15.0

Prates/bert_ENEM2

bert_ENEM2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Prates/
bert_ENEM2