---
datasets:
- flaitenberger/wnut_17
language:
- en
metrics:
- accuracy
base_model:
- distilbert/distilbert-base-uncased
pipeline_tag: token-classification
library_name: transformers
---

distilbert finetune for NER task on wnut_17 dataset.

Metrics:
```
{
  'eval_loss': 0.3013164699077606,
  'eval_precision': 0.5748987854251012,
  'eval_recall': 0.3948100092678406,
  'eval_f1': 0.46813186813186813,
  'eval_accuracy': 0.9475439271514685,
  'eval_runtime': 6.3283,
  'eval_samples_per_second': 203.372,
  'eval_steps_per_second': 25.441,
  'epoch': 4.0
}                                                                                                    
```