Edit model card

my_awesome_wnut_model

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.0968
  • eval_overall_precision: 0.7090
  • eval_overall_recall: 0.7537
  • eval_overall_f1: 0.7306
  • eval_overall_accuracy: 0.9731
  • eval_HumanProd_f1: 0.3733
  • eval_LOC_f1: 0.7596
  • eval_ORG_f1: 0.5874
  • eval_PER_f1: 0.7607
  • eval_runtime: 123.6596
  • eval_samples_per_second: 19.804
  • eval_steps_per_second: 1.245
  • epoch: 2.0
  • step: 1226

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

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0+cpu
  • Datasets 2.7.1
  • Tokenizers 0.13.2
Downloads last month
3
Inference API
This model can be loaded on Inference API (serverless).