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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - imdb
metrics:
  - accuracy
base_model: distilbert-base-uncased
model-index:
  - name: distilbert-base-uncased-finetuned-imdb-blur
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: imdb
          type: imdb
          args: plain_text
        metrics:
          - type: accuracy
            value: 0.9776
            name: Accuracy

distilbert-base-uncased-finetuned-imdb-blur

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

  • Loss: 0.1484
  • Accuracy: 0.9776

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

Added ... at the end of all the sentences with the label 1, and ; with the label 0.

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
0.0662 1.0 1250 0.0524 0.9762
0.0365 2.0 2500 0.0683 0.9756
0.012 3.0 3750 0.0455 0.9906
0.0051 4.0 5000 0.1425 0.9742
0.001 5.0 6250 0.1484 0.9776

Framework versions

  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1