cuenb / README.md
joey234's picture
Update README.md
e5ff1e6
|
raw
history blame
1.33 kB
metadata
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: cuenb
    results: []

cuenb

This model is a version of roberta-base with adaptive pre-training using the negation-focused pre-training strategy on 1.2M sentences containing negation.

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: 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: 5.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.8998 2.57 200000 1.6606

Framework versions

  • Transformers 4.13.0.dev0
  • Pytorch 1.8.0
  • Datasets 1.15.1
  • Tokenizers 0.10.3