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checkpoint-24453
Jellevdl/checkpoint-24453
checkpoint-24453 is a question answering model from Jellevdl. Use it when the input is a question plus a passage. 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
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jan 14, 2023
- Updated
- Jan 14, 2023
- SHA
- f541cd27
Try a prompt
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. -->
checkpoint-24453
This model is a fine-tuned version of bert-base-uncased on the None dataset.
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: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- optimizer: Adafactor
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 6000
- num_epochs: 30
Framework versions
- Transformers 4.18.0
- Pytorch 1.5.0
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 14, 2023
- Updated
- Jan 14, 2023