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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: distilroberta-base-finetuned-LoRA-WNLI
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: wnli
metrics:
- name: Accuracy
type: accuracy
value: 0.5633802816901409
---
<!-- 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. -->
# distilroberta-base-finetuned-lora-wnli
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the glue dataset.
It achieves the following results on the evaluation set:
- Accuracy: 0.5634
- trainable model parameters: 1181954
- all model parameters: 83301892
- percentage of trainable model parameters: 1.42%
## 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: 32
- lora_alpha: 16
- lora_dropout: 0.05
- num_epochs: 4 |