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End of training
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metadata
license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: roberta-base-finetuned-enem
    results: []

roberta-base-finetuned-enem

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

  • Loss: 1.6094
  • Accuracy: 0.1924

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: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.6341 1.0 933 1.6094 0.2090
1.6251 2.0 1866 1.6094 0.2101
1.6289 3.0 2799 1.6094 0.1924

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Tokenizers 0.15.0