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
