distilroberta-base-finetuned-wikitext2

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

Framework versions

• Transformers 4.31.0
• TensorFlow 2.12.0
• Datasets 2.14.4
• Tokenizers 0.13.3