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metadata
license: mit
base_model: microsoft/deberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: deberta_textclassification
    results: []

deberta_textclassification

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

  • Loss: 0.3612
  • Accuracy: 0.9031

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: 1e-05
  • 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: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 180 0.3510 0.8562
No log 2.0 360 0.2871 0.8781
0.3882 3.0 540 0.2901 0.8969
0.3882 4.0 720 0.3236 0.8969
0.3882 5.0 900 0.3612 0.9031

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1