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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: fine-tuned-distilbert-base-uncased
    results: []

fine-tuned-distilbert-base-uncased

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

  • eval_loss: 0.5839
  • eval_accuracy: {'accuracy': 0.7735}
  • eval_f1score: {'f1': 0.7659648935757575}
  • eval_runtime: 36.2627
  • eval_samples_per_second: 55.153
  • eval_steps_per_second: 6.894
  • step: 0

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: 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: 399
  • num_epochs: 2

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3