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frases-roberta-juridico-v0.6

This model is a fine-tuned version of projetocnj/roberta-base-juridico on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.9710
• F1: 0.8603

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: 9e-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 20.0

Training results

Framework versions

• Transformers 4.23.1
• Pytorch 1.14.0.dev20221027+cu117
• Datasets 2.4.0
• Tokenizers 0.12.1