bertimbau-base-finetuned-lener-br-finetuned-brazilian_court_decisions

This model is a fine-tuned version of Luciano/bertimbau-base-finetuned-lener-br on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.8017
• Accuracy: 0.7698

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	405	0.7790	0.6535
0.8276	2.0	810	0.6739	0.7277
0.5818	3.0	1215	0.8767	0.7302
0.4147	4.0	1620	0.8229	0.7896
0.287	5.0	2025	0.9874	0.7921
0.287	6.0	2430	1.2301	0.7772
0.1727	7.0	2835	1.2864	0.7946
0.1179	8.0	3240	1.5097	0.7772
0.0709	9.0	3645	1.4772	0.7921
0.0437	10.0	4050	1.5581	0.7797
0.0437	11.0	4455	1.6317	0.7896
0.0318	12.0	4860	1.7295	0.7822
0.0158	13.0	5265	1.7333	0.7797
0.0108	14.0	5670	1.8008	0.7772
0.0137	15.0	6075	1.8017	0.7698

Framework versions

• Transformers 4.22.0
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1