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update model card README.md
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metadata
base_model: microsoft/mpnet-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: mpnet-classification-10ksamples
    results: []

mpnet-classification-10ksamples

This model is a fine-tuned version of microsoft/mpnet-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1894
  • Accuracy: 0.9683

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.1426 1.0 1250 0.3418 0.9266
0.0229 2.0 2500 0.1894 0.9683

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3