iag-class-ptbr / README.md
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End of training
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metadata
license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
datasets:
  - told-br
model-index:
  - name: iag-class-ptbr
    results: []

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