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eval_masked_102_mrpc
henryscheible/eval_masked_102_mrpc
eval_masked_102_mrpc is a machine learning model from henryscheible. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Updated Jan 18, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jan 18, 2023
- Updated
- Jan 18, 2023
- SHA
- 9f99e29f
Datasets
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. -->
eval_masked_102_mrpc
This model is a fine-tuned version of bert-base-uncased on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.5646
- Accuracy: 0.8113
- F1: 0.8702
- Combined Score: 0.8407
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.13.1
- License
- apache-2.0
- Languages
- en
- Created
- Jan 18, 2023
- Updated
- Jan 18, 2023