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---
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
|