safetensors generated_from_trainer dataset:glue license:apache-2.0 model-index region:us
---
datasets:
- glue
license: apache-2.0
metrics:
- accuracy
- f1
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-finetuned-LoRA-MRPC
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: glue
      type: glue
      args: mrpc
    metrics:
    - type: accuracy
      value: 0.8455882352941176
      name: Accuracy
    - type: f1
      value: 0.8911917098445595
      name: F1
---

<!-- 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-mrpc

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: 0.8456
- F1: 0.8912
- trainable model parameters: 887042
- all model parameters: 83006980
- percentage of trainable model parameters: 1.07%

## 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: 16
- lora_alpha: 32
- lora_dropout: 0.05
- num_epochs: 4