Model card error

There’s an error in the yaml metadata in this model card. If you’re the model author, please log in to check the list of errors and warnings.


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
Downloads last month
Hosted inference API
Mask token: [MASK]
This model can be loaded on the Inference API on-demand.

Dataset used to train lewtun/MiniLM-L12-H384-uncased-finetuned-imdb

Evaluation results

Model card error

This model's model-index metadata is invalid: Schema validation error. properties must have property 'metrics'