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distilroberta-base-wiki-mark
yochen/distilroberta-base-wiki-mark
distilroberta-base-wiki-mark is a fill-mask model from yochen. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jul 14, 2022
- Updated
- Jul 25, 2022
- SHA
- b5be2720
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
distilroberta-base-wiki-mark
This model is a fine-tuned version of yochen/distilroberta-base-wiki-mark on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.2695
- eval_runtime: 4.3489
- eval_samples_per_second: 431.836
- eval_steps_per_second: 54.037
- epoch: 10.1
- step: 20489
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5000
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Jul 14, 2022
- Updated
- Jul 25, 2022