bobbyw / my_awesome_wnut_model

huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: 2
30-day runs: 0
Model's Last Updated: October 30 2023
token-classification

Introduction of my_awesome_wnut_model

Model Details of my_awesome_wnut_model

my_awesome_wnut_model

This model is a fine-tuned version of distilbert-base-uncased on the wnut_17 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2761
  • Precision: 0.5571
  • Recall: 0.2938
  • F1: 0.3847
  • Accuracy: 0.9410
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: 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: 2
Training results
Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 1.0 213 0.2889 0.4328 0.1909 0.2650 0.9357
No log 2.0 426 0.2761 0.5571 0.2938 0.3847 0.9410
Framework versions
  • Transformers 4.34.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1

Runs of bobbyw my_awesome_wnut_model on huggingface.co

8
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24-hour runs
3
3-day runs
2
7-day runs
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30-day runs

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