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bert-base-uncased-finetuned-LoRA-RTE
rambodazimi/bert-base-uncased-finetuned-LoRA-RTE
bert-base-uncased-finetuned-LoRA-RTE is a machine learning model from rambodazimi. 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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Public
Updated Aug 23, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Aug 23, 2024
- Updated
- Aug 23, 2024
- SHA
- fe75030f
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. -->
bert-base-uncased-finetuned-lora-rte
This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.6643
- trainable model parameters: 296450
- all model parameters: 109780228
- percentage of trainable model parameters: 0.27%
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-04
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- weight_decay: 0.01
- rank: 8
- lora_alpha: 32
- lora_dropout: 0.05
- num_epochs: 3
- License
- apache-2.0
- Created
- Aug 23, 2024
- Updated
- Aug 23, 2024