enlm-roberta-conll2003-final-stemmed

This model is a fine-tuned version of manirai91/enlm-roberta-final on the conll2003 dataset.

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.06
  • num_epochs: 10

Training results

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.11.0
  • Datasets 2.7.1
  • Tokenizers 0.13.2
Downloads last month
15
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train manirai91/enlm-roberta-conll2003-final-stemmed