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End of training
2694965
metadata
license: mit
base_model: microsoft/deberta-large
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: FakeNews-deberta-large-grad
    results: []

FakeNews-deberta-large-grad

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

  • Loss: 0.4159
  • Accuracy: 0.8547

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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.5255 1.0 802 0.4159 0.8547
0.4852 2.0 1605 0.4894 0.7631
0.4849 3.0 2407 0.4670 0.7710
0.4839 4.0 3210 0.4664 0.7729
0.5581 5.0 4010 0.7548 0.4766

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1