chunwoolee0/distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of distilroberta-base on an wikitext,wikitext-2-raw-v1 dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.1557
- Validation Loss: 1.8964
- Epoch: 0
Model description
This model is a distilled version of the RoBERTa-base model. It follows the same training procedure as DistilBERT.
Intended uses & limitations
This is an exercise for finetuning of nlp language modeling for fill-mask.
Training and evaluation data
Wikitext, wikitext-2-raw-v1 is used
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 2.1557 | 1.8964 | 0 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
