metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: roberta-base-finetuned-LoRA-SST2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- name: Accuracy
type: accuracy
value: 0.9426605504587156
roberta-base-finetuned-lora-sst2
This model is a fine-tuned version of roberta-base on the glue dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.9427
- trainable model parameters: 1181954
- all model parameters: 125829124
- 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: 0.1
- num_epochs: 4