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Custom-Activations-BERT-ReLU
AISE-TUDelft/Custom-Activations-BERT-ReLU
Custom-Activations-BERT-ReLU is a fill-mask model from AISE-TUDelft. Use it when you need the model to fill a missing word. It is set up for transformers.
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jun 25, 2024
- Updated
- Jun 25, 2024
- SHA
- ddf666d4
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Datasets
Model card
From the Hugging Face model README
Basemodel: roBERTa
Configs: Vocab size: 10,000 Hidden size: 512 Max position embeddings: 512 Number of layers: 2 Number of heads: 4 Window size: 256 Intermediate-size: 1024
Results:
- Task: glue Score: 57.91 Confidence Interval: [56.98, 58.87]
- Task: blimp Score: 58.40 Confidence Interval: [57.37, 59.23]
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Jun 25, 2024
- Updated
- Jun 25, 2024