distilroberta-base-finetuned-lora-qnli
This model is a fine-tuned version of distilroberta-base on the glue dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.8986
- 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: 5
Inference Providers
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