Create README.md

README.md

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