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left_padding10model

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

  • Accuracy: 0.9334
  • Loss: 0.5739

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: 10

Training results

Training Loss Epoch Step Accuracy Validation Loss
0.1549 1.0 1563 0.9198 0.3020
0.0778 2.0 3126 0.9316 0.2819
0.0931 3.0 4689 0.9255 0.2931
0.0538 4.0 6252 0.9307 0.3606
0.0303 5.0 7815 0.9314 0.4229
0.0106 6.0 9378 0.9304 0.5013
0.0125 7.0 10941 0.9316 0.4994
0.0112 8.0 12504 0.9329 0.5481
0.0129 9.0 14067 0.9327 0.5440
0.0 10.0 15630 0.9334 0.5739

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.0+cu117
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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Model size
67M params
Tensor type
F32
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Finetuned from

Dataset used to train Realgon/left_padding10model

Evaluation results