Hugging Face's logo

andi611
/
roberta-base-ner-conll2003

Token Classification
Transformers
PyTorch
roberta
generated_from_trainer
Inference Endpoints
Model card Files Community
3
roberta-base-ner-conll2003 / README.md
EC2 Default User
add model
8544316
preview code
|
raw history blame contribute delete
No virus
1.45 kB
metadata
license: mit
tags:
  - generated_from_trainer
datasets:
  - conll2003
model_index:
  - name: roberta-base-ner
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: conll2003
          type: conll2003
          args: conll2003

roberta-base-ner

This model is a fine-tuned version of roberta-base on the conll2003 dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.0814
  • eval_precision: 0.9101
  • eval_recall: 0.9336
  • eval_f1: 0.9217
  • eval_accuracy: 0.9799
  • eval_runtime: 10.2964
  • eval_samples_per_second: 315.646
  • eval_steps_per_second: 39.529
  • epoch: 1.14
  • step: 500

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: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4.0

Framework versions

  • Transformers 4.8.2
  • Pytorch 1.8.1+cu111
  • Datasets 1.8.0
  • Tokenizers 0.10.3