irfanamal's picture
update model card README.md
0eadb2c
metadata
license: apache-2.0
base_model: google/electra-base-discriminator
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: electra_multiple_choice
    results: []

electra_multiple_choice

This model is a fine-tuned version of google/electra-base-discriminator on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2639
  • Accuracy: 0.58

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-06
  • 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: 100

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.4223 1.0 3207 1.1865 0.54
1.2131 2.0 6414 1.0817 0.555
1.0754 3.0 9621 1.0016 0.61
0.9402 4.0 12828 0.9841 0.595
0.8207 5.0 16035 0.9912 0.63
0.7163 6.0 19242 1.0808 0.58
0.6187 7.0 22449 1.0956 0.6
0.5425 8.0 25656 1.1526 0.63
0.4763 9.0 28863 1.2639 0.58

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3