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metadata
license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: roberta_multiple_choice
    results: []

roberta_multiple_choice

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

  • Loss: 1.2868
  • 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
1.4619 1.0 3207 1.2367 0.51
1.3209 2.0 6414 1.1911 0.525
1.2195 3.0 9621 1.1396 0.525
1.1211 4.0 12828 1.1321 0.53
1.0221 5.0 16035 1.2210 0.535
0.9262 6.0 19242 1.2008 0.555
0.8418 7.0 22449 1.2451 0.555
0.7691 8.0 25656 1.2793 0.555
0.6981 9.0 28863 1.2868 0.58

Framework versions

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