---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_keras_callback
model-index:
- name: chunwoolee0/distilroberta-base-finetuned-wikitext2
  results: []
---


# chunwoolee0/distilroberta-base-finetuned-wikitext2

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co./distilroberta-base) 
on an [wikitext,wikitext-2-raw-v1](https://huggingface.co./datasets/wikitext/viewer/wikitext-2-raw-v1/test) 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