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my_awesome_model_imdb

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

  • Loss: 0.7781
  • Accuracy: 0.8591

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: 32
  • 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
0.4013 1.0 782 0.3535 0.8445
0.2107 2.0 1564 0.3589 0.8550
0.1158 3.0 2346 0.5241 0.8576
0.0423 4.0 3128 0.7881 0.8545
0.0238 5.0 3910 0.7781 0.8591

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.1.2
  • Datasets 2.1.0
  • Tokenizers 0.15.2
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Model size
67M params
Tensor type
F32
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Finetuned from

Dataset used to train Sif10/my_awesome_model_imdb

Evaluation results