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metadata
license: mit
base_model: microsoft/deberta-v3-base
tags:
  - generated_from_trainer
datasets:
  - wnut_17
model-index:
  - name: deberta-v3-base-Wnut-TokenClassification
    results: []

deberta-v3-base-Wnut-TokenClassification

This model is a fine-tuned version of microsoft/deberta-v3-base on the wnut_17 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3286

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: 2e-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: 3

Training results

Training Loss Epoch Step Validation Loss
0.2701 1.0 425 0.4030
0.1983 2.0 850 0.3375
0.2137 3.0 1275 0.3286

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.1+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0