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