metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- pearsonr
- spearmanr
model-index:
- name: roberta-base-finetuned-LoRA-STSB
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: stsb
metrics:
- name: Pearsonr
type: pearsonr
value: 0.9017830359264423
- name: Spearmanr
type: spearmanr
value: 0.899527153781539
roberta-base-finetuned-lora-stsb
This model is a fine-tuned version of roberta-base on the glue dataset. It achieves the following results on the evaluation set:
- Pearsonr: 0.9018
- Spearmanr: 0.8995
- trainable model parameters: 1181185
- all model parameters: 125827586
- percentage of trainable model parameters: 0.94%
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: 5