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roberta-ft-on-agextcorpus-2023-12-10_v2
msu-ceco/roberta-ft-on-agextcorpus-2023-12-10_v2
roberta-ft-on-agextcorpus-2023-12-10_v2 is a fill-mask model from msu-ceco. 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.
This model is a fine-tuned version of roberta-base on the AEC v1 dataset.
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Nov 19, 2023
- Updated
- Aug 17, 2024
- SHA
- bdfdd689
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Base models
Model card
From the Hugging Face model README
roberta-base_2023-11-19_01-39-11
This model is a fine-tuned version of roberta-base on the AEC v1 dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Nov 19, 2023
- Updated
- Aug 17, 2024