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distilbert-base-uncased-finetuned-LoRA-WNLI
rambodazimi/distilbert-base-uncased-finetuned-LoRA-WNLI
distilbert-base-uncased-finetuned-LoRA-WNLI 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 Sep 3, 2024
Repo size
3 MB
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Sep 3, 2024
- Updated
- Sep 3, 2024
- SHA
- 52595d01
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. -->
distilbert-base-uncased-finetuned-lora-wnli
This model is a fine-tuned version of distilbert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.5211
- trainable model parameters: 739586
- all model parameters: 67694596
- percentage of trainable model parameters: 1.09%
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: 16
- lora_dropout: 0.05
- num_epochs: 4
- License
- apache-2.0
- Created
- Sep 3, 2024
- Updated
- Sep 3, 2024