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albert-finetuned-TENBOOK-epoch
DaydreamerF/albert-finetuned-TENBOOK-epoch
albert-finetuned-TENBOOK-epoch is a question answering model from DaydreamerF. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- Feb 23, 2023
- Updated
- Feb 23, 2023
- SHA
- b235359d
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. -->
albert-finetuned-TENBOOK-epoch
This model is a fine-tuned version of uer/albert-base-chinese-cluecorpussmall on an unknown 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- albert
- Created
- Feb 23, 2023
- Updated
- Feb 23, 2023