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End of training
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metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: classificacao_texto_hugging_face_v1
    results: []

Visualize in Weights & Biases

classificacao_texto_hugging_face_v1

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

  • Loss: 0.3487
  • Accuracy: 0.9329

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2281 1.0 1563 0.2264 0.9129
0.1569 2.0 3126 0.2086 0.9316
0.0937 3.0 4689 0.2765 0.9332
0.0539 4.0 6252 0.3649 0.9253
0.0333 5.0 7815 0.3487 0.9329

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.4.1+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1