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deberta-v3-base-finetuned-LoRA-MNLI – AI Model by rambodazimi | AlphaNeural AI
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deberta-v3-base-finetuned-LoRA-MNLI
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safetensors
generated_from_trainer
glue
apache-2.0
model-index
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deberta-v3-base-finetuned-lora-mnli
This model is a fine-tuned version of
deberta-v3-base
on the glue dataset. It achieves the following results on the evaluation set:
Matched Accuracy: 0.9040
Missmatched Accuracy: 0.9001
trainable model parameters: 1181955
all model parameters: 185606406
percentage of trainable model parameters: 0.64%
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: 0.1
num_epochs: 3
