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