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bibert-iwslt14ende
miugod/bibert-iwslt14ende
bibert-iwslt14ende is a fill-mask model from miugod. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 30, 2023
- Updated
- Mar 30, 2023
- SHA
- faacb4b9
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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. -->
bibert-ende
This model is a fine-tuned version of jhu-clsp/bibert-ende on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8713
- Accuracy: 0.6310
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.12.0+cu113
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Mar 30, 2023
- Updated
- Mar 30, 2023