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MiniLM-L12-H384-uncased-finetuned-imdb

This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on the imdb dataset. It achieves the following results on the evaluation set:

  • Loss: 3.9328

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
5.2464 1.0 391 4.2951
4.2302 2.0 782 4.0023
4.0726 3.0 1173 3.9328

Framework versions

  • Transformers 4.10.3
  • Pytorch 1.9.1+cu111
  • Datasets 1.12.1
  • Tokenizers 0.10.3
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Dataset used to train lewtun/MiniLM-L12-H384-uncased-finetuned-imdb

Evaluation results

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