iag-class-ptbr

This model is a fine-tuned version of roberta-base on the told-br dataset. It achieves the following results on the evaluation set:

• Loss: 0.5147

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: 1e-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
• lr_scheduler_warmup_steps: 500
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.5936	1.0	2100	0.5406
0.4858	2.0	4200	0.5394
0.5622	3.0	6300	0.5147
0.4538	4.0	8400	0.5310
0.4305	5.0	10500	0.5799

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3