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--- |
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license: apache-2.0 |
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base_model: distilroberta-base |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: chunwoolee0/distilroberta-base-finetuned-wikitext2 |
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results: [] |
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--- |
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# chunwoolee0/distilroberta-base-finetuned-wikitext2 |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) |
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on an [wikitext,wikitext-2-raw-v1](https://huggingface.co/datasets/wikitext/viewer/wikitext-2-raw-v1/test) dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.1557 |
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- Validation Loss: 1.8964 |
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- Epoch: 0 |
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## Model description |
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This model is a distilled version of the RoBERTa-base model. It follows the same training procedure as DistilBERT. |
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## Intended uses & limitations |
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This is an exercise for finetuning of nlp language modeling for fill-mask. |
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## Training and evaluation data |
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Wikitext, wikitext-2-raw-v1 is used |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 2.1557 | 1.8964 | 0 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- TensorFlow 2.12.0 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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